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Literatur

  1. Sharda, R.: Linear Programming on Microcomputers—A Survey, Interfaces, Vol. 14, No. 6, 1984

    Google Scholar 

  2. Gill, P. E., Murray, W., Saunders, M. A., and Wright, M. H.: Trends in Nonlinear Programming Software, Eur. J. Oper. Res., Vol. 17, No. 2, 1984

    Google Scholar 

  3. Slate, L. and Spielberg, K.: The Extended Control Language of MPSX/370 and Possible Applications, IBM Systems J. Vol. 17, 1978

    Google Scholar 

  4. Fabinan, Cs.: Interactive Integer Programming, Econ. Comput. Econ. Cybern. Stud. Res., Vol. 18, No. 2, 1983, 65–72

    Google Scholar 

  5. Spielberg, K. and Suhl, U.: An Experimental Software System for Large Scale 0–1 Problems With Efficient Data Structures and Access to MPSX/370, IBM Thomas J. Watson Res. Center, Rept. RC-8219 (No. 35757), 4/17/1980

    Google Scholar 

  6. Tolla, P.: Linear and Non-Linear Programming Software Validity, Math. and Computers in Simulation, Vol. XXV, Simulation, 1983

    Google Scholar 

  7. Vignes, J.: New Methods for Evaluating the Validity of the Results of Math. Comput., Math. Comp. Sim., Vol. XX, No. 4, 1978, 227–245

    MathSciNet  Google Scholar 

  8. Schmitz, P. und Schönlein, A.: Lineare und linearisierbare Optimierungsmodelle sowie ihre ADV-gest. Lösung, Vieweg, Braunschw., 1978

    Google Scholar 

  9. Viviers, F.: Decision Support System for Job Shop Scheduling, Eur. J. of Oper. Res., Vol. 14, No. 1, 1984

    Google Scholar 

  10. Jacobs, F. R.: OPT Scheduling System—A Review of a New Production Scheduling System, Prod. Invent. Management, Vol. 24, No. 3, 1983

    Google Scholar 

  11. Junginger, W.: Stundenpläne aus dem Computer—ein Bericht zur momentanen Lage in Deutschland, Ang. Inf., Vol. 27, No. 4, 1985

    Google Scholar 

  12. Thierauf, R. J.: Decision Support Systems for Effective Planning and Control, Prentice-Hall Inc., Englewood Cliffs, N. J., 1982

    Google Scholar 

  13. Minch, R. P. and Burns, J. R.: Conceptual Design of Decision Support Systems Utilizing Management Science Models, IEEE Trans. Syst. Man Cybern, Vol. SMC-13, No. 4, 1983

    Google Scholar 

  14. Vazsonyi, A.: Information Systems in Management Science—Computer-Supported Gedankenexperiments, Interfaces, Vol. 12, No. 4, 1982

    Google Scholar 

  15. Vazsonyi, A.: The Use of Mathematics in Management Information Systems, Interfaces, Vol. 6, No. 3, 1976

    Google Scholar 

  16. Geoffrion, A. M. and Powers, R. F.: Management Support Systems, The Wharton Magazine, Vol. 5, No. 3, 1981, 26–35

    Google Scholar 

  17. Sprague, R.H. and Carlson, E. D.: Building Effective Decision Support Systems, Prentice-Hall, Englewood Cliffs, N. J., 1982

    Google Scholar 

  18. Alter, S.: Decisions Support Systems—Current Practice and Continuing Challenges, Addison Wesley, Reading, Mass., 1980

    Google Scholar 

  19. Rector, R. L.: Decision Support Systems—Strategic Planning Tool, Managerial Planning, Vol. 31, No. 6, 1983

    Google Scholar 

  20. Blanning, R. W.: A Decision Support Language for Corporate Planning, Int. J. of Policy Analysis and Inf. Systems, Vol. 6, No. 4, 1982

    Google Scholar 

  21. Hackathorn, R. D.: Modeling Unstructured Decision Making, Data Base, Vol. 8, No. 3, 1977

    Google Scholar 

  22. Stohr, E. A. and Tanniru, M. R.: A Database for Oper. Res., Policy Analysis and Information Systems, Vol. 4, No. 1, 1978

    Google Scholar 

  23. Bonczek, R. H., Holsapple, C. W., and Whinston, A. B.: Computer Based Support of Organizational Decision Making, Decision Sciences, Vol. 10, No. 2, 1979

    Google Scholar 

  24. Orman, L.: An Array Theoretic Specification Evironment for the Design of Decision Support Systems, Int. J. Policy Analysis and Inf. Systems, Vol. 6, No. 4, 1982

    Google Scholar 

  25. Carlson, E. D.: An Approach for Designing Decision Support Systems, Database, Vol. 10, No. 3, 1979

    Google Scholar 

  26. Bonczek, R. H., Holsapple, C. W., and Whinston, A. B.: The Evolving Roles of Models in Decision Support Syst., Dec. Sci., Vol. 11, 1980

    Google Scholar 

  27. Turban, E.: Decision Support Systems (DSS)—A New Frontier For Industrial Engineering, Comp. and Ind. Eng., Vol. 7, No. 1, 1983

    Google Scholar 

  28. Nof, S. Y. and Gurecki, R.: MDSS—Manufacturing Decision Support System, Proc. 1980 AIIE Spring Conference, May 1980

    Google Scholar 

  29. Nof, S. Y. et al.: Control and Decision Support in Automatic Manufacturing System, AIIE Trans., Vol. 12, No. 1, 1980

    Google Scholar 

  30. Meador, C. L. and Mezger, R. A.: Decision Support Systems for Minis and Micros, Small Systems World, No. 3, 1983

    Google Scholar 

  31. Donnelly, R. M.: Enhancing Management & Planning with Decision Support Systems, Managerial Planning, Vol. 31, No. 5, 1983

    Google Scholar 

  32. Diprimio, A.: Develop a Five Step Plan to Launch Decision Support Systems, Bank Systems & Equipment, Vol. 21, No. 9, 1984

    Google Scholar 

  33. Williams, A. J.: Decisions, Decisions,… (O. R. Software and the Micro—Conference Proceedings), J. of Oper. Soc. (U.K.), Vol. 34, No. 4, April 1983

    Google Scholar 

  34. Orman, L.: Process Management System—An Automated Design Methodology for Management Reporting Systems, Ph.D. Diss., Northwestern Univ., 1979

    Google Scholar 

  35. Alter, S. L.: A Study of Computer-Aided Decision Making in Organizations, Ph.D. Diss., MIT, Cambridge, Mass. 1975

    Google Scholar 

  36. Müller, G.: Entscheidungsunterstützende Endbenutzersysteme, Teubner, Stuttgart, 1983

    Google Scholar 

  37. Wynne, B. E.: A Dominating Sequence—MS/OR; DSS; and the Fifth Generation, Interfaces, Vol. 14, No. 3, 1984

    Google Scholar 

  38. International Directory of Software 1983–1984, 3rd. Edition, Oldenbourg, München, 1983

    Google Scholar 

  39. Das Internationale Software Verizeichnis 1983–1984, 3. Auflage, Oldenbourg, München, 1983

    Google Scholar 

  40. Programme von Software-und Service-Unternehmen für IBM-Systeme, Bundesrepublik Deutschland, Oesterreich, Schweiz, Sonderdruck aus ISIS Software Report und ISIS Personal Computer Report, Nomina Information, Service, München, 1988

    Google Scholar 

  41. Dolk, D. R.: A Generalized Model Management System for Mathematical Progr., ACM Trans. on Math. Softw., Vol. 12, No. 2, 1986, 92–126

    Google Scholar 

  42. Boehning, R. L. et al.: Parallel Integer Linear Progr. Algorithm, Eur. J. of Oper. Res., Vol. 34, No. 3, 1988, 393–398

    MathSciNet  MATH  Google Scholar 

  43. Waren, A. D., Hung, M, and Lasdon, J.: The Status of Nonlinear Programming Software—An Update, Oper. Res., Vol. 35, 1987, 489–503

    MathSciNet  Google Scholar 

  44. Waren, A. D. and Lasdon, L. S.: The Status of Nonlinear Programming Software, Operations Research, Vol. 27, 1979, 431–456

    MathSciNet  MATH  Google Scholar 

  45. Dueck, G. and Scheuer, T.: Threshold Accepting Optimization Algorithm Appearing Supperior to Simulated Annealing, IBM Germany, Heidelberg Scientific Center, Report No. TR. 88.10. 011, Oct. 1988

    Google Scholar 

  46. Chang, C. L.: Decision Support in an Imperfect World, IBM Research Division, Report No. RJ 3421 (40687) 3/15/82, San Jose, CA., 1982

    Google Scholar 

  47. Mitra, G. (Ed.): Computer Assisted Decision Making, North-Holland, Amsterdam, 1986

    Google Scholar 

  48. Boudwin, N. K., Palmer, K., and Rowland, A. J.: A Model Management Framework for Math. Progr., Exxon Monograph, Wiley, New York, 1984

    Google Scholar 

  49. Peeters, H.: Vergleichende empirische Studie über Leistungsfähigkeit kommerziell angebotener Programmsysteme zur mathematischen Programmierung (APEX 3, FM PS, MPSX/370-MIP/370, SCISCONIC), Rheinisch-Westfälische Techn. Hochschule, Inst. für Wirtschafts-wissenschaften, Lehrstuhl für Unternehmensforschung, Aachen, 1979

    Google Scholar 

  50. Zhao, Y., Fukao, T. and Shimura, M.: Parallel Computing of Simulated Anealing Algorithm for some Combinatorial Optimization Problems, Trans. of the IECE Japan, Vol. E70, No. 9, 1987, 798–800

    Google Scholar 

  51. Maturana, S. V.: Comparative Analysis of Mathematical Programming Systems, Western Mgmt. Sci. Institute, Univ. of California, Los Angles, Working Paper No. 347, May 1987

    Google Scholar 

  52. Lukkien, J. J.: Parallel Algorithm for a Class of Optimiz. Probl., Groningen Rijksuniversiteit (Netherlands), Subfaculteit Wiskunde en Informatica, Report PB88–209929/XAB, February 1988

    Google Scholar 

  53. Lai, T. H. and Sprague, A.: Performance of Parallel Branch-and-Bound Algorithms, IEEE TRans. Comput., C-34, 1985, 962–964

    Google Scholar 

  54. Kindervater, G. A. P. and Lenstra, J. K.: Parallel Computing in Combinatorial Optimization, Centrum voor Wiskunde en Informatica, Amsterdam, Report OS-R87720, 1987

    Google Scholar 

  55. Lucas, C. and Mitra, G.: Computer-Assisted Math. Progr. (Modelling) System—CAMPS, The Comp. J., Vol. 31, No. 4, 1988, 364–375

    Google Scholar 

  56. Katz, S., Risman, L. J., and Rodeh, M.: A System for Constructing Linear Programming Models, IBM Systems J., Vol. 19, 1980, 505–520

    Google Scholar 

  57. Benichou, M., Gauthier, J. M., Girodet, P., Hentages, G., Ribiene, G. and Vincent, O.: Experiments in Mixed-Integer Progr., Math. Progr., Vol. 1, 1971, 76–94

    MATH  Google Scholar 

  58. Humphreys, L. A. and Williams, R. L.: Using CAD/CAM for Three-Dimensional Linear Progr. Models, Comp. Ind. Eng., Vol. 13, 1987, 295–299

    Google Scholar 

  59. Müller-Merbach, H.: On Round-Off Errors in Linear Programming, Springer, Berlin, 1970

    MATH  Google Scholar 

  60. White, W. W.: A Status Report on Computing Algorithms for Mathematical Programming, Computing Surveys, Vol. 5, 1973, 135–166

    MathSciNet  MATH  Google Scholar 

  61. Sharda, R.: State of the Art of Linear Programming on Personal Computers, Interfaces, Vol. 18, No. 4, 1988, 49–58

    Google Scholar 

  62. Kuo, Y.-L. and Kuo, W.: Application of Electronic Spreadsheets to Linear and Integer Programming, Int. J. Appl. Eng. Educ., Vol. 3, No. 6, 1987, 563–575

    Google Scholar 

  63. Snyders, J.: Parallel Computing for Production Scheduling, Manuf. Systems, Vol. 6, No. 10, 1988

    Google Scholar 

  64. Soran, P. D.: State-of-the-Art Monte Carlo 1988, Lawrence Livermore National Lab., CA., 1988

    Google Scholar 

  65. Miller, R. E. and Thatcher, J. W. (Eds.) Complexity of Computer Applications, Plenum Press, New York, 1972

    Google Scholar 

  66. Suhl, U.: Design Aspects of a Mathematical Programming System for Solving Large Scale Integer Programs, Int. Workshop on Advances in Linear Optimiz. Algorithms and Software, Pisa, Italy, 1980

    Google Scholar 

  67. Davis, J. A. and Holdridge, D. B.: Factorization of Large Integers on a Massively Parallel Computer, Sandia National Laboratories, Albuquerque, New Mexico, USA, 1980

    Google Scholar 

  68. Appleby, J. S. et al.: School Timetables on a Computer and Their Application to Other Scheduling Problems, The Comp. J., Vol. 3, 1961, 237–245

    MathSciNet  MATH  Google Scholar 

  69. Totschek, R. and Wood, R. C.: An Investigation of Real-Time Solution of the Transportation Problem, J. ACM, 1961, 230

    Google Scholar 

  70. Kastner, G.: Operations Research mit BASIC auf dem PC, Gabler, Wiesbaden, 1985

    Google Scholar 

  71. Geppert, B., Paessens, H. und Weuthen, H. K.: OR im Personal Computing. Erfahrungen mit dem Einsatz von OR-Algorithmen auf Microcomputern, in VIII.1. 1–57, 1985, 322–323

    Google Scholar 

  72. Beulens, A. and Van Nunen, J.: On Using Quantitative Methods in Decision Support Systems—Design and Implementation Issues, in VIII.1. 1–57, 1985, 302–309

    Google Scholar 

  73. Peeters, H.: Benutzereingriffsmöglichkeiten zur Effizienzsteigerung kommerzieller gemischtganzzahliger Optimierungssoftware, in VIII.1. 1–55, 1981

    Google Scholar 

  74. Boehmer, N., Poetsch, C. und Tiemeier, U.: Anwendung und Implementierung von Algorithmen in der OR-Ausbildung, in VIII.1. 1–55, 1981

    Google Scholar 

  75. Meier, G.: Trends in der Entwicklung interaktiver LP-Systeme, in VIII.1. 1–55, 1981

    Google Scholar 

  76. Müller-Stahl, A.: Interaktive Programmkommunikation und Datenkommunikation mit einem Math. Progr. System, in VIII.1. 1–55, 1981

    Google Scholar 

  77. Ohse, D.: Linear Programming Software—Ein Überblick Über das Angebot und den Entwicklungsstand moderner LP-Systeme, in VIII.1. 1–56, 1980

    Google Scholar 

  78. Oberhoff, W. D.: Numerische Erfahrungen mit dem mathematischen Programmiersystem MPSX/370, in VIII.1. 1–58, 1978

    Google Scholar 

  79. Nastansky, L.: Personal Computing für OR. Grundsatzfragen und Anwendungskonzept an Beispielen, in VIII.1. 1–57, 1985

    Google Scholar 

  80. Giles, R.: A Computer Program for Fuzzy Reasoning, Fuzzy Sets and Systems, Vol. 4, No. 3, 1980, 221–234

    MathSciNet  MATH  Google Scholar 

  81. LeFaivre, R.: Fuzzy—A Programming Language for Fuzzy Problem Solving, Report PB-231813/7, Univ. of Wisconsin, 1974

    Google Scholar 

  82. Negoita, C. V.: Expert Systems, and Fuzzy Systems, Benjamin/Cummings, Menlo Park, Calif., 1985

    Google Scholar 

  83. Negoita, C. V.: Fuzzy Sets in Decisions Support Systems, Human Systems Management, Vol. 4, 1983, 27–33

    Google Scholar 

  84. Brown, R. W. and Shapiro, J. F.: LOGS—A Modeling and Optimization System for Business Planning, in X-47, 1986, 227–241

    Google Scholar 

  85. Clark, A. J.: A System for the Specification and Generation of Matrices for Multi-Period Prod. Scheduling Models, in VIII.1. 1–32, 1970

    Google Scholar 

  86. Mills, R. E., Fetter, R. B., and Averill, R. F.: A Computer Language for Math. Progr. Formulation, Decision Sciences, Vol. 8, 1977, 427–444

    Google Scholar 

  87. Rowland, A. J. and Boudwin, N. K.: A Data and Model Management System in Exxon, in X-47, 1986, 253–259

    Google Scholar 

  88. Exxon: PLATOFORM—A Model Management Framework for Mathematical Programming, Exxon Monograph, Wiley, New York, 1984

    Google Scholar 

  89. Ketron: MPSIII DATAFORM User Manual, Ketron Inc., 1980

    Google Scholar 

  90. IBM: MPSX/370 Version 2, General Information Manual, IBM Form No. GH19–6549, 1988

    Google Scholar 

  91. IBM: MGRW, Program Reference Manual, IBM Form No. SH19–5014, 1977

    Google Scholar 

  92. Sperry Univac: GAMMA 3.4 Procedures Summary, Sperry Univac Computer Systems, No. UP-8200, Revision 1, 1977

    Google Scholar 

  93. Haverty System: OMNI Linear Programming System, User and Operating Manual, 1976

    Google Scholar 

  94. Haverly Systems: MAGEN, References Manual, 1977

    Google Scholar 

  95. Efstathiou, J., Rajkovic, V., and Bohanec, M.: Expert Systems and Rule Based Decision Support Systems, in X-47, 1986

    Google Scholar 

  96. Aittoniemi, L.: Basis Representations in Large-Scale Linear Progr. Softw., Acta Polytech. Scand. Math. Comput. Sci. Ser., No. 50, 1988 ( Thesis of Helsinki Univ. of Technology, Espoo, Finland )

    Google Scholar 

  97. Gotman, I. E., Gotman, L. E., Dubinkina, I. N., Kalinin, I. N., and Sterlin, A. M.: Some Approaches to the Comparative Study of Opt. Algor., Soy. J. Comput. Syst. Sci., Vol. 26, No. 3, 1988, 132–137

    MATH  Google Scholar 

  98. Yamaki, N., Miyata, M, M.,Hongo, S., Takahashi, S., and Yabe, H.: ASNOP—Application System for Nonlinear Optimization Problems, Japanese, Bull. Cent. Inf. Waseda Univ., Vol. 7, 1988, 59–62

    Google Scholar 

  99. Lazaro, M. and Puigjaner, L.: Solution of Integer Optimization Problems Subjected to Non-Linear Restrictions—An Improved Alogorithm, Comput. Chem. Eng. Vol. 12, No. 5, 1988

    Google Scholar 

  100. Hummeltenberg, W.: Implementations of Special Ordered Sets in MP Software, Eur. J. of Oper. Res., Vol. 17, 1984, 1–15

    MathSciNet  MATH  Google Scholar 

  101. Benders, J. F. and Van Nunen, J.: A Linear Programming Based Decision Support System for Location and Allocation Problems, Dutch Informatie, Vol. 23, 1981, 693–703

    Google Scholar 

  102. Whitaker, D.: OR on the Micro, Wiley, New York, 1984

    Google Scholar 

  103. Krallmann, H.: Betriebliche Entscheidungsunterstützungssysteme, in VIII.1. 1–57, 1985, 58 1593

    Google Scholar 

  104. Brown, R., Shapiro, J. F., and Waterman, P. J.: Parallel Computing for Prod. Scheduling, Manuf. Systems, Vol. 6, No. 10, 1988, 56–64

    Google Scholar 

  105. Jarmai, K.: Single and Multicriteria Optimization as a Tool of Decision Support System, Computers in Industry, Vol. 11, No. 3, 1989, 249–266

    Google Scholar 

  106. Lootsma, F. A. and Ragsdell, K. M.: State-of-the-Art in Parallel Nonlin. Optimiz., Parallel Comput., Vol. 6, No. 2, 1988, 133–155

    MathSciNet  MATH  Google Scholar 

  107. Millham, C. B.: Search Procedure for Solving Small Nonlinear Programs on Small Computers, Adv. Eng. Software, Vol. 9, No. 2, 1987, 74–76

    Google Scholar 

  108. Colville, A. R.: A Comparative Study on Nonlinear Programming Codes, IBM New York Scientific Center, Report No. 320–2949, 1968

    Google Scholar 

  109. Beale, E. M. L.: Nonlinear Programming Using SCICONIC and Related Software, Report, Scicon Ltd., Milton Keynes, England, 1983

    Google Scholar 

  110. Lasdon, L. S. and Waren, A. D.: GRG2 User’s Guide, CIS-86–01, Department of Computer and Information Science, Cleveland State Univ., Cleveland, Ohio, 1986

    Google Scholar 

  111. Schittkowski, K.: Nonlinear Programming Codes, Springer, Lecture Notes in Economics and Math. Systems No. 183, Springer, 1980

    Google Scholar 

  112. Crowder, H., Dembo, R. S., and Mulvey, J. M.: Reporting Computational Experiments with Math. Software, Math. Progr., Vol. 5, 1978

    Google Scholar 

  113. Haddock, J.: User-Oriented Mathematical Operations Research Software, Appl. Math. Modelling, Vol. 12, No. 3, 1988, 268–272

    Google Scholar 

  114. Uhlmann, A.: Lin. Progr. on a Micro Computer—An Application in Refinery Modelling, Eur. J. Oper. Res., Vol. 35, No. 3, 1980, 321

    Google Scholar 

  115. Janczyk, W. K. and Beasley, J. E.: Multiple-Model OR Packages, J. Oper. Res. Soc., Vol. 39, No. 5, 1988, 487–509

    Google Scholar 

  116. Beasley, J. E.: Supercomputers and OR, J. Oper. Res. Soc., Vol. 38, No. 11, 1987, 1085–1089

    Google Scholar 

  117. Rider, E.: General Computer Solution of Dynamic Progr. Problems with Integer Restrictions, Doct. Thesis, Univ. of Arizona, 1971

    Google Scholar 

  118. Jarke, M. and Radermacher, F. J.: The AI-Potential of Model Management and its Central Role in Decision Support, Decision Support Systems, Vol. 4, No. 4, 1988

    Google Scholar 

  119. Richter, M. M.: AI-Concepts and OR-Tools in Advanced DSS, Decision Support Systems, Vol. 4, No. 4, 1988

    Google Scholar 

  120. Van Hee, K. M. and Lapinski, A.: OR and AI Approaches to Decision Support Systems, Decision Support Systems, Vol. 4, No. 4, 1988

    Google Scholar 

  121. Er, M. C.: Decision Support Systems—A Summary, Problems and Future Trends, Decision Support Systems, Vol. 4, No. 3, 1988

    Google Scholar 

  122. IBM: Optimization Subroutine Library (OSL), Guide and Reference, IBM Form No. SC23–0519, 1990

    Google Scholar 

  123. Ortega, M. and Troya, J.: Live Nodes Distribution in Parallel Branch and Bound Algorithms, Microprocess Microprogram, Vol. 25, 1989

    Google Scholar 

  124. Janakiram, V. K., Agrawal, D. P., and Mehrotra, R.: Randomized Parallel Branch-and-Bound Algorithm, North Carolina State Univ. Raleigh, North Carolina, Proc. of the Int. Conf. on Parallel Processing, 1988, 69–75

    Google Scholar 

  125. Dolk, D. R.: Model Management and Structured Modeling—The Role of an Information Resource Dictionary System, Commun. ACM, Vol. 31, No. 6, 1988, 704–718

    Google Scholar 

  126. Hruschka, H.: Neuere Ansätze der Repräsentation von Methoden-und Modellwissen in betriebsw. Entscheidungsunterstützungssystemen, Angew. Inf., Vol. 30, No. 4, 1988, 158–168

    Google Scholar 

  127. Simmons, L. F. and Poulos, L.: DSS—The Successful Implementation of a Mathematical Programming Model for Strategic Planning, Comput. Oper., Vol. 15, No. 1, 1988, 1–5

    Google Scholar 

  128. Weisman, J.: MINIMAL, a Combined Optimization Technique, Engineering Design Optimization under Conditions of Risk, Ph.D. Diss., Univ. of Pittsburgh, PA, 1968

    Google Scholar 

  129. Forrest, J. J. H., Hirst, J. P. H., and Tomlin, J. A.: Practical Solution of Large Mixed-Integer Programming Problems with UMPIRE, Mgmt. Sci., Vol. 20, 1974, 736–773

    MathSciNet  MATH  Google Scholar 

  130. Fourer, R.: Modelling Languages Versus Matrix Generators for Linear Programming, ACM Trans. on Math. Software, Vol. 9, No. 2, 1983, 143–183

    Google Scholar 

  131. Oley, L. A. and Sjoquist, R. J.: Automatic Reformulation of Mixed and Pure Integer Models to Reduce Solution time in APEX IV, ORSA/ORSA/TIMS Meeting, San Diego, California, 1982

    Google Scholar 

  132. Crowder, H. P. and Saunders, P. B.: Results of a Survey on MP Software Indicators, Committee on Algor. Newsl. of MPS, Jan. 1980, 2–7

    Google Scholar 

  133. White, W. W. (Ed.): Computers and Mathematical Programming, NBS Special Publ. 502, US Gov. Printing Office, Washington, DC, 1978

    Google Scholar 

  134. Dembo, R. S. and Mulvey, J. M.: On the Analysis and Comparison of Math. Progr. Algorithms and Software, in X-133, 1978, 106–116

    Google Scholar 

  135. Schnabel, R. B.: Parallel Computing in Optimization, VII1.1.1–92, 1984, 357–381

    Google Scholar 

  136. Wang, S.-B. and Lu, Y.-Z.: Knowledge-Based Successive Linear Programming for Lineary Constrained Optimization, Int. J. Man-Machine Studies, Vol. 29, 1988, 625–636

    MATH  Google Scholar 

  137. Schrage, L. E.: User Manual for LINDO, Sci. Press, Polo Alto, 1981

    Google Scholar 

  138. Roy, A., Lasdon, L. S., and Plane, D.: End-User Optimization with Spreadsheet Models, Eur. J. Oper. Res., Vol. 39, 1989, 131–137

    Google Scholar 

  139. Cunningham, C. and Schrage, L.: Optimization in Spreadsheets with VINO, Scientific Press, Palo Alto, CA., 1985

    Google Scholar 

  140. Savage, S.: The ABC’s of Optimization with What’s Best !, Holden-Day, Oakland, C.A., 1986

    Google Scholar 

  141. Plane, D. R.: Quantitative Tools for Decision Support Using IFPS, Addison Wesley, Reading, MA., 1986

    Google Scholar 

  142. Execucom Systems Corp.: IFPS/Optimum User’s Manual, Austin, TX., 1986

    Google Scholar 

  143. Frumkin, M. A.: Systolic Calculator for Solving Linear Programming Problems, Soy. J. Comp. Sys. Sci., Vol. 26, No. 4, 1988, 149–156

    MathSciNet  MATH  Google Scholar 

  144. Aarts, E. H. L. and Korst, J. H. M.: Boltzmann Machines for Travelling Salesman Probl., Eur. J. Oper. Res., Vol. 39, No. 1, 1989, 79–95

    MathSciNet  MATH  Google Scholar 

  145. Scicon: SCICONIC/VM User Guide, Version 1. 40, Scicon Ltd., Milton Keynes, 1986

    Google Scholar 

  146. Beale, E. M. L.: The Evolution of Mathematical Programming Systems, J. Oper. Res. Soc., Vol. 36, No. 5, 1985, 357–366

    Google Scholar 

  147. Mitra, G., Tamiz, M., and Yadegar, J.: FORTLP—A Linear, Integer and Nonlin. Progr. System, Preliminary User’s Maunal, Brunel Univ., England, July 1985

    Google Scholar 

  148. Control Data Corp.: APEX III Reference Manual, Version 1.1., Mineapolis, Minn., 1977

    Google Scholar 

  149. More, J. J., Garbow. B. S. and Hillstrom, K. E.: Testing Unconstrained Optimization Software, ACM Transactions on Math. Softw., Vol. 7, 1981, 17–41

    MathSciNet  MATH  Google Scholar 

  150. Van Laarhoven, P. J. M.: Parallel Variable Metric Methods for Unconstrained,Optimization, Math. Progr., Vol. 33, 1985, 68–81

    MATH  Google Scholar 

  151. Rall, L. B.: Automatic Differentiation—Techniques and Applications, Springer, Berlin, 1981

    MATH  Google Scholar 

  152. Schittkowski, K.: NLPQL—A FORTRAN Subroutine Solving Constrained Nonlin. Progr. Problems, Working Paper, Univ. Stuttgart, 1984

    Google Scholar 

  153. Sundarraj, R. R.: Documentation of DECOMP—A Dantzig-Wolfe Decomposition Code for Linear Programming, Master’s Thesis, Mgmt. Sci. Program, The Univ. of Tennessee, Konxville, 1987

    Google Scholar 

  154. Grandinetti, L. and Conforti, D.: Numerical Comparisons of Nonlinear Progr. Algorithms on Serial and Vector Processors Using Automatic Differentiation, Math. Progr., Ser. B., Vol. 42, No. 2, 1988, 375

    MathSciNet  MATH  Google Scholar 

  155. Day, R. E. and Williams, H. P.: MAGIC—The Design and Use of an Interactive Modelling Language for Math. Progr., Dept. Business Studies, Working Paper 2/82, Univ. of Edinburgh, 1982

    Google Scholar 

  156. Day, R. E.: MAGIC—User’s Guide, Dept. Business Studies, University of Edinburgh, 1984

    Google Scholar 

  157. Greenberg, H. J. (Ed.): Design and Implementation of Optimization Software, Sijthoff & Noordhoff, The Netherlands, 1978

    Google Scholar 

  158. Orchard-Hays, W.: History of Mathematical Programming Systems, in X-157, 1978, 1–26

    Google Scholar 

  159. Orchard-Hays, W.: Scope of Mathematical Programming Software, inX-157, 1978, 27–40

    Google Scholar 

  160. Orchard-Hays, W.: Anatomy of Mathematical Programming Systems, in X-157, 1978, 41–102

    Google Scholar 

  161. Phillips, A. T. and Rosen, J. B.: Parallel Algorithm for Constrained Concave Quadratic Global Minimization, Math. Progr., Ser. B, Vol. 42, No. 2, 1988, 421–448

    MathSciNet  MATH  Google Scholar 

  162. Goos, G. and Hartmans, J. (Eds.): Lecture Notes in Computer Science, Vol. 268, Springer, Berlin, 1987

    Google Scholar 

  163. Quinn, M. J.: Designing Efficient Algorithms for Parallel Computers, McGraw-Hill, New York, 1987

    MATH  Google Scholar 

  164. Kindervater, G. A. P. and Lenstra, J. K.: An Introduction to Parallelism in Combinatorial Optimization, Discrete Appl. Math., Vol. 14, 1986, 135–156

    MathSciNet  MATH  Google Scholar 

  165. Dekel, E. and Sahni, S.: Parallel Scheduling Algorithms, Oper. Res., Vol. 31, 1983, 24–49

    MATH  Google Scholar 

  166. Pruul, E. A.: Parallel Processing and a Branch-and-Bound Algorithm, M. Sc. Thesis, Cornell Univ., Ithaca, N. Y., 1975

    Google Scholar 

  167. Casti, J. Richardson, M., and Larson, R.: Dynamic Programming and Parallel Comp., J. Optim. Theory Appl., Vol. 12, 1973, 423–438

    Google Scholar 

  168. De Bruin, A., Rinnooy Kan, A. H. G., and Trienekens H. W. J. M.: Simulation Tool for the Performance Evaluation of Parallel Branch and Bound Algor., Math. Progr., Ser. B, Vol. 42, No. 2, 1988, 245

    MATH  Google Scholar 

  169. Lai, T. H. and Sahni, S.: Anomalies in Parallel Branch-and-Bound Algorithms, Comm. of the ACM, Vol. 27, No. 6, 1984, 594–602

    MathSciNet  MATH  Google Scholar 

  170. Pan, V. and Reif, J.: Efficient Parallel Linear Programming, Oper. Res. Letters, Vol. 5, No. 3, 1986, 127–135

    MathSciNet  MATH  Google Scholar 

  171. Glover, F.: Future Paths for Integer Programming and Links to Artif. Intell., Comp. Oper. Res., Vol. 13, No. 5, 1986, 533–549

    MathSciNet  MATH  Google Scholar 

  172. Rich, E.: Artificial Intelligence, Mc Graw-Hill, New York, 1983

    Google Scholar 

  173. Pearl, J.: Heuristics—Intelligent Search Strategies for Computer Problem Solving, Addison-Wesley, Reading, Mass., 1984

    Google Scholar 

  174. Greenberg, X. and Maybee, X. (Eds.): Computer Assisted Analysis and Model Simplification, Academic Press, New York, 1981

    MATH  Google Scholar 

  175. Land, A. H. and Powell, S.: Computer Codes for Problems of Integer Programming, in VIII.1. 4–76, 1979, 221–269

    MathSciNet  Google Scholar 

  176. Wright, M. H.: A Survey of Available Software for Nonlinearly Constrained Optimization, Techn. Rep. SOL 78–4, Dept. of Oper. Res., Stanford Univ., 1978

    Google Scholar 

  177. Dembo, R. S.: Current State-of-the-Art of Algorithms and Computer Software for Geometric Programming, J. Optim. Theory Appl., Vol. 26, 1978, 149–184

    MathSciNet  MATH  Google Scholar 

  178. Rijckaert, M. J.: Computational Aspects of Geometric Programming, in X-157, 1978, 481–505

    Google Scholar 

  179. Sanchez, E.: Fuzzy Information, Knowledge Representation and Decision Analysis, Marseille, 1984

    MATH  Google Scholar 

  180. Glover, F., Hultz, J., Klingman, D., and Stutz, J.: Generalized Networks—A Fundamental Computer-Based Planning Tool, Mgmt. Sci., Vol. 24, 1978, 1209–1220

    Google Scholar 

  181. Deininger, R. A.:Teaching Linear Programming on a Micro-Computer, Interfaces, Vol. 13, No. 4, 1983, 30–33

    Google Scholar 

  182. Schittkowski, K.: Software for Mathematical Programming, in VIII.1. 1–92, 1984, 383–451

    Google Scholar 

  183. Coffman, E. G. Jr., Lenstra, J. K., and Rinnooy Kan, A. H. G. (Eds.): Computation, Handbooks in Oper. Res., and Mgmt. Sci., Vol. 3, North-Holland, Amsterdam, 1990

    Google Scholar 

  184. Mulvey, J. M. (Ed.): Evaluating Mathematical Programming Techniques, Springer,Berlin, 1982

    Google Scholar 

  185. Dembo, R. S.: A Set of Geometric Test Problems and Their Solutions, Math. Progr., Vol. 10, 1976, 192–213

    MathSciNet  MATH  Google Scholar 

  186. Rosen, J. B. and Suzuki, S.:Construction of Nonlinear Programming Test Problems, Comm. ACM, Vol. 8, 1965

    Google Scholar 

  187. Korst, J. H. M. and Aarts, E. H. L.: Combinatorial Optimization on a Boltzmann Machine, J. Parallel and Distributed Computing, 1988

    Google Scholar 

  188. Hopfield, J. J. and Tank, D. W.: Neural Computation of Decisions in Optimization Problems, Biological Cybern., Vol. 52, 1985, 141–152

    MathSciNet  MATH  Google Scholar 

  189. Hopfield, J.J.: Neural Networks and Physical Systems with Emergent Collective Computational Abilities, Proc. Nat. Acad. Sciences, Vol. 79, 1982, 2554–2558

    MathSciNet  Google Scholar 

  190. Aarts, E. H. L. and Korst, J. H. M.: Boltzmann Machines and their Applications, in Lecture Notes in Computer Science, No. 258, Springer, Berlin, 1987, 34–51

    Google Scholar 

  191. Hopfield, J. J.: Artificial Neural Networks, IEEE Circuits Devices Mag., Vol. 4, No. 5, 1988, 3–10

    Google Scholar 

  192. IBM: Catalog of Engineering and Scientific Application Programs Avail. From Non-IBM Sources, IBM Corporation, Rye Brock, NY, 1988

    Google Scholar 

  193. Dembo, R. S.: A Set of Geometric Test Problems and their Solutions, Math. Progr., Vol. 10, 1976, 192–213

    MathSciNet  MATH  Google Scholar 

  194. Darema, F., Krikapatrick, S., and Norton, V. A.: Parallel Algorithms for Chip Placement by Simulated Annealing, IBM J. Res and Dev., May 1987, 391

    Google Scholar 

  195. IBM: IBM Mathematical Programming System Extended /370 (MPSX/370) Version 2, Getting Started, Form-No. SH19–6586, 1988

    Google Scholar 

  196. Hock, W. and Schittkowski, K.: A Comparative Performance Evaluation of 27 Nonlinear Progr. Codes, Computing, Vol. 30, 1983, 335–358

    MathSciNet  MATH  Google Scholar 

  197. IBM: Introduction OSL, IBM Form No. GC23–0517, 1989

    Google Scholar 

  198. Parlar, M.: Solving Dynamic Optimization Problems on a Personal Computer Using Electronic Spreadsheets, Automatica, Vol. 25, No. 1, 1989, 97–101

    MathSciNet  MATH  Google Scholar 

  199. Lustig, I. J.: Analysis of an Available Set of Linear Programming Test Problem, Comp. & Oper. Res., Vol. 16, No. 2, 1989, 173–184

    MATH  Google Scholar 

  200. Deuermeyer, B. L. and Curry, G. L.: On a Language for Discrete Dynamic Programming and a Microcomputer Implementation, Comp. & Oper. Res., Vol. 16, No. 1, 1989, 1–11

    MATH  Google Scholar 

  201. Schrage, L.: Linear, Integer and Quadratic Programming with LINDO, The Scientific Press, Palo Alto, 1984

    Google Scholar 

  202. Horowitz, E. and Sahni, S.: Fundamentals of Computer Algorithms, Maryland, Computer Science Press, 1984

    Google Scholar 

  203. Brennan, J. J. and Elam, J.: Understanding ans Validating Results im Model-Based Decision Support Systems, Decision Suppert Syst., Vol. 2, 1986, 49–54

    Google Scholar 

  204. Zenios, S. A. and Mulvey, J. M.: Vectorization and Multitasking of Nonlinear Network Programming Algorithms, Math. Progr., Ser. B, Vol. 42, No. 2, 1988, 449–470

    MathSciNet  MATH  Google Scholar 

  205. Kusiak, A. and Heragu, S. S.: Expert Systems and Optimization, IEEE Transactions on Software Engineering, Vol. 15, No. 8, 1989, 1017–1020

    Google Scholar 

  206. Ho, J.: Linear and Dynamic Programming with Lotus 1–2–3, MIS Press, Portland, Oregon, 1987

    Google Scholar 

  207. Jennergren, L. P.: OR and Micros, European J. Operational Research, Vol. 20, 1985, 1–9

    Google Scholar 

  208. Golden, B. L., Assad, A. A., and Wasil, E. A. (Eds.): Microcomputers in Oper. Res., Comput. Oper. Res., Vol. 13, Special Issue, 1986, 105–366

    Google Scholar 

  209. Orchard-Hays, W.: Evolution of Linear Programming Computing Techniques, Mgmt. Sci., Vol. 4, 1958, 183–190

    MathSciNet  MATH  Google Scholar 

  210. Wasil, E. A., Golden, B. L., and Liu, L.: State of the Art in Nonlinear Optimization Software for the Microcomputer, Comput. Oper. Res., Vol. 16, No. 6, 1989, 497–512

    MathSciNet  Google Scholar 

  211. Forrest, J. J. H. and Tomlin, J. A.: Vector Processing in Simplex and Interior Point Method for Linear Programming, Report RJ 6390 (62372) 8/15/88, IBM, Yorktown Heights, N. Y., 1988

    Google Scholar 

  212. Aho, A. V., Hoperoft, J. E., and Ullman, J. D.: The Design and Analysis of Computer Algorithms, Addison-Wesley, Reading, Mass., 1974

    MATH  Google Scholar 

  213. Murtagh, B. A. and Saunders, M. A.: MINOS 5.1 User’s Guide, Technical Report SOL 83–20R, Dept. of Oper. Res., Stanford Univ., 1987

    Google Scholar 

  214. Welch, J.: PAM—A Practitioner’s Approach to Modeling, Management Science, Vol. 33, 1987, 610–625

    Google Scholar 

  215. Cunningham, K. and Schrage, L.: The LINGO Modeling Language, LINDO Systems, Chicago, Ill., 1988

    Google Scholar 

  216. Geoffrion, A.: An Introduction to Structured Modeling, Management Science, Vol. 33, No. 5, 1987, 547–588

    Google Scholar 

  217. Roy, A., Lasdon, L., and Lordeman, J.: Extending Planning Languages to Include Optimiz. Capabil., Mgmt. Sci., Vol. 32, 1986,. 360–373

    Google Scholar 

  218. Lasdon, L., Waren, A., Jain, A., and Ratner, M.: Design and Testing of a Generalized Reduced Gradient Code for Nonlinear Progr., ACM Trans. Math. Software, Vol. 4, 1978, 34–50

    MATH  Google Scholar 

  219. Catthoor, F., De Man, H., and Vandewalle, J.: SAMURAI—A General and Efficient Simulated-Annealing Schedule with Fully Adaptive Anneal. Parameters, Integration—The VLSI J., Vol. 6, 1988, 147

    Google Scholar 

  220. Liebman, J., Schrage, L., Lasdon, L. S., and Waren, A. D.: Modelling ans Optimization with GINO, Scientific Press, Palo Alto, CA., 1986

    Google Scholar 

  221. Baker, T. E.: The Current State of Optimization Software—A User’s Point of View, in VIII.1. 5–08, 1981, 353–359

    Google Scholar 

  222. Price, W. L.: Global Optimization Algorithms for a CAD Workstation, J. Opt. Theory and Appl., Vol. 55, No. 1, 1987, 133–146

    MATH  Google Scholar 

  223. Culioli, J.-C., Protopopeschu, V. and Mann, R. C.: Chaoit Behavior in a New Class of Parallel Optimization Algorithms, Proc. of the 7th Symposium on Energy Engineering Sciences, June 19–21, 1989, Argonne, II.; Oak Ridge National Lab., Tennessee, 1989

    Google Scholar 

  224. Culioli, J.-C. and Protopopescu, V.: Bifurcating Optimization Algorithms and Their Possible Application, Oak Ridge National Lab., Tennessee, 1988

    Google Scholar 

  225. Ketron: MPSIII User’s Manual, Revision 11, Ketron Inc., Arlington, VA., June 1984

    Google Scholar 

  226. Tomlin, J. A. and Welch, J. S.: Integration of Primal Simplex Algorithm with a Large Scale Math. Progr. System, ACM Trans. on Mathematical Software, Vol. 11, 1985, 1–11

    MathSciNet  Google Scholar 

  227. Ignizio, J. P. and Perlis, J. H.: Sequential Linear Goal Programming—Implement. Via MPSX, Comp. and Oper. Res., Vol. 3, 1980, 217–225

    Google Scholar 

  228. Janakiram, V. K., Gehringer, E. F., Agrawall, D. P., and Mehrotra, R.: A Randomized Parallel Branch-and-Bound Algorithm, Int. J. Parallel Programming, Vol. 7, No. 3, 1988, 277–301

    Google Scholar 

  229. Wah, B. W. and Yu, C. F.:Stochastic Modeling of Branch-and-Bound Algorithms with Best-First Search, IEEE Trans. on Software Eng., Vol. SE-11, No. 9, 1985, 922–933

    Google Scholar 

  230. Dekel, E. and Sahni, S.: Binary Trees and Parallel Scheduling Algorithms IEEE Trans. Comput., Vol. 32, 1983, 307–315

    MATH  Google Scholar 

  231. Wah, B. W., Li, G. J., and Yu, C. F.: Multiprocessing of Combinatorial Search Problems, Computer, Vol. 8, No. 6, 1985, 93–108

    Google Scholar 

  232. Li, G. J. and Wah, B. W.: Computational Efficiency of Parallel Combinatorial OR Tree Searches, IEEE Trans. on Software Eng., Vol. 16, No. 1, 1990, 13–31

    MathSciNet  Google Scholar 

  233. Gen, M., Ida, K., Sasaki, M., and Lee, J. U.: Algorithm for Solving Large Scale 0–1 Goal Programming and its Application to Reliability Optimization Problem, Comp. and Ind. Eng., Vol. 17, 1989, 525–530

    Google Scholar 

  234. IBM: Optimal Layout for Satellite Systems Using Math. Progr. Syst. Extended/370 Version 2, IBM-Form No. G511–1285, 1989

    Google Scholar 

  235. Mor, M. and Fraenkel, A. S.: Permutation Generation on Vector Proc., The Computer J., Vol. 25, No. 4, 1982, 423–428

    MathSciNet  MATH  Google Scholar 

  236. Zaks, S.: A New Algorithm for Generation of Permutations, BIT, Vol. 24, No. 2, 1984, 196–204

    MathSciNet  MATH  Google Scholar 

  237. Gupta, P. and Bhattacharjee, G. P.: Parallel Generation of Permutations, The Computer J., Vol. 26, No. 2, 1983, 97–105

    MathSciNet  MATH  Google Scholar 

  238. Chen, G. H. and Chern, M.-S.: Parallel Generation of Permutations and Combinations, BIT, Vol. 26, 1986, 277–283

    MathSciNet  MATH  Google Scholar 

  239. Land, A. H. and Powell, S.: FORTRAN Codes for Mathematical Programming, Wiley, New York, 1973

    MATH  Google Scholar 

  240. Lai, T.-H and Sprague, A.: A Note on Anomalies in Parallel Branch-and-Bound Algorithms with One-to-One Bounding Functions, Inf. Processing Letters, Vol. 23, 1986, 119–122

    MathSciNet  MATH  Google Scholar 

  241. Li, G. J. and Wah, B. W.: Computational Efficiency of Parallel Approximate Branch-and-Bound Algorithms, Proc. of the Int. Conf. on Parallel Processing, 1984, 473–480

    Google Scholar 

  242. Mohan, J.: Experience with Two Parallel Programs Solving the Travelling Salesperson Problem, Proc. Int. Conf. on Prallel Proc., 1983, 191–193

    Google Scholar 

  243. Byrd, R. H., Schnable, R. B., and Shultz, G. A.: Parallel Quasi-Newton Methods for Unconstrained Optimization, Math. Progr., Ser. B, Vol. 42, No. 2, 1988, 273–306

    MATH  Google Scholar 

  244. Schnabel, R. B.: Concurrent Function Evaluations in Local and Global Optimization, Comp. Meth. in Appl. Mechanics and Eng., Vol. 64, 1987, 537–552

    MathSciNet  MATH  Google Scholar 

  245. Kindervater, G. A. P., Lenstra, J. K., and Rinnooy Kan, A. H. G.: Perspectives on Parallel Comp., Oper. Res., Vol. 37, No. 6, 1987, 985

    Google Scholar 

  246. Noetzel, A. S. and Graziano, M. J.: Global Combinatorial Optimization by Neural Networks, Vol. 1, No. 1, 1988

    Google Scholar 

  247. Drud, A.: Alternative Model Formulations in Nonlinear Progr.,—Some Dissastrous Results, Oper. Res., Vol. 33, No. 1, 1985, 218–222

    MathSciNet  MATH  Google Scholar 

  248. Carter, R. G.: Numerical Experience with a Class of Algorithms for Nonlinear Optimization Using Inexact Function and Gradient Information, inst. for Computer Applications in Science and Eng., Hampton, VA., 1989

    Google Scholar 

  249. Gutterman, M. M.: Efficient Implementation of a Branch and Bound Algor., Standard Oil Company, Indiana, Undated Doc., approx. 1970

    Google Scholar 

  250. Paules, G. E. and Floudas, C. A.: APROS—Algorithmic Development Methodology for Discrete-Continuous Optimization Problems, Oper. Res., Vol. 37, No. 6, 1989, 902–915

    MATH  Google Scholar 

  251. Pabst, R.: Verwendungsmöglichkeiten der externen Speichermedien von EDV-Anlagen bei der Lösung bestimmter Aufgaben der Diskreten Optimierung, Diplomarbeit, TU Dresden, 1978

    Google Scholar 

  252. Jackson, R. H. F., Mc Cormick, G. P., and Sofer, A.: FACTUNC—A User-Friendly System for Unconstrained Optimization, National Inst. of Standards and Technology, U. S. Dept. of Commerce, Rept. PB90–112392/AS, Gaithersburg, Maryland, 1989

    Google Scholar 

  253. Curry, G. L. and Deuermeyer, B. L.: An Algebraic Modeling Language and Microcomputer Environment for Linear Programming and Related Optimiz. Methods, Comp. Ind. Eng., Vol. 18, No. 1, 1990, 29–60

    Google Scholar 

  254. Curry, G. L., Deuermeyer, B. L., and Feldman, R. M.: MiroOR—Microcomputer Support for Oper. Res. and Mgmt. Sci., Technical Rept., Ind. Eng. Dept. Texas A&M Univ

    Google Scholar 

  255. Curry, G. L., Deuermeyer, B. L., and Feldman, R. M.: Discrete Simulation—Fundamentals and Microcomputer Support, Holden-Day, San Francisco, California, 1989

    Google Scholar 

  256. Sharada, R. and Somarajan, C.: Comparative Performance of Advanced Microcomp. LP Systems, Comp. & Oper. Res., Vol. 13, 1986, 131–148

    Google Scholar 

  257. Zionts, S. and Wallenius, J.: An Interactive Programming Method for Solving the Multiple Criteria Problem, Mgmt. Sci., Vol. 22, 1976, 652–663

    MATH  Google Scholar 

  258. Sawaragi, Y., Inoue, K., and Nakayama, H. (Eds.):Toward Interactive and Intelligent Decision Support Systems, Proc of the 7th Int. Conf. on Multiple Criteria Decision Making, Kyoto, Japan, August 18–22, 1986, Springer, Berlin, 1987

    Google Scholar 

  259. Mitra, G. (Eds.): Mathematical Models for Decision Support, Proc. of the NATO Advanced Study Inst. on Math. Models for Decision Support, Val d’Isere, France, 1987, Springer, Berlin, 1988

    Google Scholar 

  260. Ritter, H., Martinetz, K. und Schulten, K.: Neuronale Netze—Eine Einführung in die Neuroinformatik selbstorganisierender Netzwerke, Addison-Wesley, Reading, Mass., 1990

    Google Scholar 

  261. Roucairol, C.: Parallel Computing in Combinatorial Optimization, Computer Physics Report, Vol. 11, 1989, Proc. of the 2nd Eur. Graduate Summer Course on Comput. Physiscs, Puidoux, Switzerland, September 1988, North-Holland, Amsterdam, 195–220

    Google Scholar 

  262. Beasley, J. E.: Linear Programming on Cray Supercomputers, J. Oper. Res. Soc. (UK), Vol. 41, No. 2, 1990, 133–139

    MATH  Google Scholar 

  263. Kümmerling, H.: JARO/KWOPT—Ein Programmsystem zur Ermittlung der Optimalen Strombeschaffung für EVU, Elektrizitätswirtschaft, Vol. 89, Heft 13, 1990, 742–746

    Google Scholar 

  264. Fourer, R., Gay, D. M., and Kernighan, B. W.: A Modelling Language for Math. Progr., Mgmt. Sci., Vol. 36, No. 5, 1990, 519–554

    MATH  Google Scholar 

  265. Kennedy, M. P. and Chua, L. O.: Neural Networks for Nonlinear Programming, IEEE Trans. Circuit Syst., Vol. 35, 1988, 554–562

    MathSciNet  Google Scholar 

  266. Rodriguez-Vazquez, A. et al.: Nonlinear Switched-Capacitor “Neural” Networks for Optimization Problems, IEEE Trans. on Circuits and Systems, Vol. 37, No. 3, 1990, 384–398

    MathSciNet  Google Scholar 

  267. Adams, D. A.: Parallel Processing Implications for Management Scientists, Interfaces, Vol. 20, No. 3, 1990, 88–98

    Google Scholar 

  268. Eom, H. B. and Lee, S. M.: Decision Support Systems Applications Res.—A Bibliography (1971–1981), Eur. J. Oper. Res., Vol. 46, No. 3, 1990, 333–342

    MathSciNet  MATH  Google Scholar 

  269. Finlay, P. N. and Wilson, J. N.: Orders of Validation in Mathematical Modelling, J. Oper. Res. Soc. (UK), Vol. 41, No. 2, 1990, 103–109

    Google Scholar 

  270. Arbib, M. A.: Brains, Machines, and Mathematics, Springer Verlag, New York, 2nd Edition, 1987

    Google Scholar 

  271. Holland, J. H.: Adaption in Natural and Artificial Systems, Univ. of Michigan Press, Ann Arbor, Michigan, 1975

    Google Scholar 

  272. Zenios, S. A.: Integrating Network Optimization Capabilities into a High-Level Modeling Language, ACM Trans. Math. Softw., Vol. 16, No. 2, 1990, 113–142

    MathSciNet  MATH  Google Scholar 

  273. Glover, F., Karney, D., Klingman, D., and Napier, A.: A Computational Study on Start Procedures, Basis Change Criteria and Solution Algor. for Transport. Probl., Mgmt. Sci., Vol. 20, 1974, 793–813

    MathSciNet  MATH  Google Scholar 

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    Dipl.-Math. Dr. rer. nat. Kurt Littger (Wissenschaftlicher Mitarbeiter der IBM Deutschland GmbH)

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Littger, K. (1992). Auswahl von DV-bezogenen Veröffentlichungen. In: Optimierung. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-87729-2_10

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