Optimierung pp 241-249 | Cite as

Auswahl von DV-bezogenen Veröffentlichungen

  • Kurt Littger


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Sharda, R.: Linear Programming on Microcomputers—A Survey, Interfaces, Vol. 14, No. 6, 1984Google Scholar
  2. 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, 1984Google Scholar
  3. 3.
    Slate, L. and Spielberg, K.: The Extended Control Language of MPSX/370 and Possible Applications, IBM Systems J. Vol. 17, 1978Google Scholar
  4. 4.
    Fabinan, Cs.: Interactive Integer Programming, Econ. Comput. Econ. Cybern. Stud. Res., Vol. 18, No. 2, 1983, 65–72Google Scholar
  5. 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), 4/17/1980Google Scholar
  6. 6.
    Tolla, P.: Linear and Non-Linear Programming Software Validity, Math. and Computers in Simulation, Vol. XXV, Simulation, 1983Google Scholar
  7. 7.
    Vignes, J.: New Methods for Evaluating the Validity of the Results of Math. Comput., Math. Comp. Sim., Vol. XX, No. 4, 1978, 227–245MathSciNetGoogle Scholar
  8. 8.
    Schmitz, P. und Schönlein, A.: Lineare und linearisierbare Optimierungsmodelle sowie ihre ADV-gest. Lösung, Vieweg, Braunschw., 1978Google Scholar
  9. 9.
    Viviers, F.: Decision Support System for Job Shop Scheduling, Eur. J. of Oper. Res., Vol. 14, No. 1, 1984Google Scholar
  10. 10.
    Jacobs, F. R.: OPT Scheduling System—A Review of a New Production Scheduling System, Prod. Invent. Management, Vol. 24, No. 3, 1983Google Scholar
  11. 11.
    Junginger, W.: Stundenpläne aus dem Computer—ein Bericht zur momentanen Lage in Deutschland, Ang. Inf., Vol. 27, No. 4, 1985Google Scholar
  12. 12.
    Thierauf, R. J.: Decision Support Systems for Effective Planning and Control, Prentice-Hall Inc., Englewood Cliffs, N. J., 1982Google Scholar
  13. 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, 1983Google Scholar
  14. 14.
    Vazsonyi, A.: Information Systems in Management Science—Computer-Supported Gedankenexperiments, Interfaces, Vol. 12, No. 4, 1982Google Scholar
  15. 15.
    Vazsonyi, A.: The Use of Mathematics in Management Information Systems, Interfaces, Vol. 6, No. 3, 1976Google Scholar
  16. 16.
    Geoffrion, A. M. and Powers, R. F.: Management Support Systems, The Wharton Magazine, Vol. 5, No. 3, 1981, 26–35Google Scholar
  17. 17.
    Sprague, R.H. and Carlson, E. D.: Building Effective Decision Support Systems, Prentice-Hall, Englewood Cliffs, N. J., 1982Google Scholar
  18. 18.
    Alter, S.: Decisions Support Systems—Current Practice and Continuing Challenges, Addison Wesley, Reading, Mass., 1980Google Scholar
  19. 19.
    Rector, R. L.: Decision Support Systems—Strategic Planning Tool, Managerial Planning, Vol. 31, No. 6, 1983Google Scholar
  20. 20.
    Blanning, R. W.: A Decision Support Language for Corporate Planning, Int. J. of Policy Analysis and Inf. Systems, Vol. 6, No. 4, 1982Google Scholar
  21. 21.
    Hackathorn, R. D.: Modeling Unstructured Decision Making, Data Base, Vol. 8, No. 3, 1977Google Scholar
  22. 22.
    Stohr, E. A. and Tanniru, M. R.: A Database for Oper. Res., Policy Analysis and Information Systems, Vol. 4, No. 1, 1978Google Scholar
  23. 23.
    Bonczek, R. H., Holsapple, C. W., and Whinston, A. B.: Computer Based Support of Organizational Decision Making, Decision Sciences, Vol. 10, No. 2, 1979Google Scholar
  24. 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, 1982Google Scholar
  25. 25.
    Carlson, E. D.: An Approach for Designing Decision Support Systems, Database, Vol. 10, No. 3, 1979Google Scholar
  26. 26.
    Bonczek, R. H., Holsapple, C. W., and Whinston, A. B.: The Evolving Roles of Models in Decision Support Syst., Dec. Sci., Vol. 11, 1980Google Scholar
  27. 27.
    Turban, E.: Decision Support Systems (DSS)—A New Frontier For Industrial Engineering, Comp. and Ind. Eng., Vol. 7, No. 1, 1983Google Scholar
  28. 28.
    Nof, S. Y. and Gurecki, R.: MDSS—Manufacturing Decision Support System, Proc. 1980 AIIE Spring Conference, May 1980Google Scholar
  29. 29.
    Nof, S. Y. et al.: Control and Decision Support in Automatic Manufacturing System, AIIE Trans., Vol. 12, No. 1, 1980Google Scholar
  30. 30.
    Meador, C. L. and Mezger, R. A.: Decision Support Systems for Minis and Micros, Small Systems World, No. 3, 1983Google Scholar
  31. 31.
    Donnelly, R. M.: Enhancing Management & Planning with Decision Support Systems, Managerial Planning, Vol. 31, No. 5, 1983Google Scholar
  32. 32.
    Diprimio, A.: Develop a Five Step Plan to Launch Decision Support Systems, Bank Systems & Equipment, Vol. 21, No. 9, 1984Google Scholar
  33. 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 1983Google Scholar
  34. 34.
    Orman, L.: Process Management System—An Automated Design Methodology for Management Reporting Systems, Ph.D. Diss., Northwestern Univ., 1979Google Scholar
  35. 35.
    Alter, S. L.: A Study of Computer-Aided Decision Making in Organizations, Ph.D. Diss., MIT, Cambridge, Mass. 1975Google Scholar
  36. 36.
    Müller, G.: Entscheidungsunterstützende Endbenutzersysteme, Teubner, Stuttgart, 1983Google Scholar
  37. 37.
    Wynne, B. E.: A Dominating Sequence—MS/OR; DSS; and the Fifth Generation, Interfaces, Vol. 14, No. 3, 1984Google Scholar
  38. 38.
    International Directory of Software 1983–1984, 3rd. Edition, Oldenbourg, München, 1983Google Scholar
  39. 39.
    Das Internationale Software Verizeichnis 1983–1984, 3. Auflage, Oldenbourg, München, 1983Google Scholar
  40. 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, 1988Google Scholar
  41. 41.
    Dolk, D. R.: A Generalized Model Management System for Mathematical Progr., ACM Trans. on Math. Softw., Vol. 12, No. 2, 1986, 92–126Google Scholar
  42. 42.
    Boehning, R. L. et al.: Parallel Integer Linear Progr. Algorithm, Eur. J. of Oper. Res., Vol. 34, No. 3, 1988, 393–398MathSciNetzbMATHGoogle Scholar
  43. 43.
    Waren, A. D., Hung, M, and Lasdon, J.: The Status of Nonlinear Programming Software—An Update, Oper. Res., Vol. 35, 1987, 489–503MathSciNetGoogle Scholar
  44. 44.
    Waren, A. D. and Lasdon, L. S.: The Status of Nonlinear Programming Software, Operations Research, Vol. 27, 1979, 431–456MathSciNetzbMATHGoogle Scholar
  45. 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. 1988Google Scholar
  46. 46.
    Chang, C. L.: Decision Support in an Imperfect World, IBM Research Division, Report No. RJ 3421 (40687) 3/15/82, San Jose, CA., 1982Google Scholar
  47. 47.
    Mitra, G. (Ed.): Computer Assisted Decision Making, North-Holland, Amsterdam, 1986Google Scholar
  48. 48.
    Boudwin, N. K., Palmer, K., and Rowland, A. J.: A Model Management Framework for Math. Progr., Exxon Monograph, Wiley, New York, 1984Google Scholar
  49. 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, 1979Google Scholar
  50. 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, 798–800Google Scholar
  51. 51.
    Maturana, S. V.: Comparative Analysis of Mathematical Programming Systems, Western Mgmt. Sci. Institute, Univ. of California, Los Angles, Working Paper No. 347, May 1987Google Scholar
  52. 52.
    Lukkien, J. J.: Parallel Algorithm for a Class of Optimiz. Probl., Groningen Rijksuniversiteit (Netherlands), Subfaculteit Wiskunde en Informatica, Report PB88–209929/XAB, February 1988Google Scholar
  53. 53.
    Lai, T. H. and Sprague, A.: Performance of Parallel Branch-and-Bound Algorithms, IEEE TRans. Comput., C-34, 1985, 962–964Google Scholar
  54. 54.
    Kindervater, G. A. P. and Lenstra, J. K.: Parallel Computing in Combinatorial Optimization, Centrum voor Wiskunde en Informatica, Amsterdam, Report OS-R87720, 1987Google Scholar
  55. 55.
    Lucas, C. and Mitra, G.: Computer-Assisted Math. Progr. (Modelling) System—CAMPS, The Comp. J., Vol. 31, No. 4, 1988, 364–375Google Scholar
  56. 56.
    Katz, S., Risman, L. J., and Rodeh, M.: A System for Constructing Linear Programming Models, IBM Systems J., Vol. 19, 1980, 505–520Google Scholar
  57. 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, 76–94zbMATHGoogle Scholar
  58. 58.
    Humphreys, L. A. and Williams, R. L.: Using CAD/CAM for Three-Dimensional Linear Progr. Models, Comp. Ind. Eng., Vol. 13, 1987, 295–299Google Scholar
  59. 59.
    Müller-Merbach, H.: On Round-Off Errors in Linear Programming, Springer, Berlin, 1970zbMATHGoogle Scholar
  60. 60.
    White, W. W.: A Status Report on Computing Algorithms for Mathematical Programming, Computing Surveys, Vol. 5, 1973, 135–166MathSciNetzbMATHGoogle Scholar
  61. 61.
    Sharda, R.: State of the Art of Linear Programming on Personal Computers, Interfaces, Vol. 18, No. 4, 1988, 49–58Google Scholar
  62. 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, 563–575Google Scholar
  63. 63.
    Snyders, J.: Parallel Computing for Production Scheduling, Manuf. Systems, Vol. 6, No. 10, 1988Google Scholar
  64. 64.
    Soran, P. D.: State-of-the-Art Monte Carlo 1988, Lawrence Livermore National Lab., CA., 1988Google Scholar
  65. 65.
    Miller, R. E. and Thatcher, J. W. (Eds.) Complexity of Computer Applications, Plenum Press, New York, 1972Google Scholar
  66. 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, 1980Google Scholar
  67. 67.
    Davis, J. A. and Holdridge, D. B.: Factorization of Large Integers on a Massively Parallel Computer, Sandia National Laboratories, Albuquerque, New Mexico, USA, 1980Google Scholar
  68. 68.
    Appleby, J. S. et al.: School Timetables on a Computer and Their Application to Other Scheduling Problems, The Comp. J., Vol. 3, 1961, 237–245MathSciNetzbMATHGoogle Scholar
  69. 69.
    Totschek, R. and Wood, R. C.: An Investigation of Real-Time Solution of the Transportation Problem, J. ACM, 1961, 230Google Scholar
  70. 70.
    Kastner, G.: Operations Research mit BASIC auf dem PC, Gabler, Wiesbaden, 1985Google Scholar
  71. 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, 322–323Google Scholar
  72. 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, 302–309Google Scholar
  73. 73.
    Peeters, H.: Benutzereingriffsmöglichkeiten zur Effizienzsteigerung kommerzieller gemischtganzzahliger Optimierungssoftware, in VIII.1. 1–55, 1981Google Scholar
  74. 74.
    Boehmer, N., Poetsch, C. und Tiemeier, U.: Anwendung und Implementierung von Algorithmen in der OR-Ausbildung, in VIII.1. 1–55, 1981Google Scholar
  75. 75.
    Meier, G.: Trends in der Entwicklung interaktiver LP-Systeme, in VIII.1. 1–55, 1981Google Scholar
  76. 76.
    Müller-Stahl, A.: Interaktive Programmkommunikation und Datenkommunikation mit einem Math. Progr. System, in VIII.1. 1–55, 1981Google Scholar
  77. 77.
    Ohse, D.: Linear Programming Software—Ein Überblick Über das Angebot und den Entwicklungsstand moderner LP-Systeme, in VIII.1. 1–56, 1980Google Scholar
  78. 78.
    Oberhoff, W. D.: Numerische Erfahrungen mit dem mathematischen Programmiersystem MPSX/370, in VIII.1. 1–58, 1978Google Scholar
  79. 79.
    Nastansky, L.: Personal Computing für OR. Grundsatzfragen und Anwendungskonzept an Beispielen, in VIII.1. 1–57, 1985Google Scholar
  80. 80.
    Giles, R.: A Computer Program for Fuzzy Reasoning, Fuzzy Sets and Systems, Vol. 4, No. 3, 1980, 221–234MathSciNetzbMATHGoogle Scholar
  81. 81.
    LeFaivre, R.: Fuzzy—A Programming Language for Fuzzy Problem Solving, Report PB-231813/7, Univ. of Wisconsin, 1974Google Scholar
  82. 82.
    Negoita, C. V.: Expert Systems, and Fuzzy Systems, Benjamin/Cummings, Menlo Park, Calif., 1985Google Scholar
  83. 83.
    Negoita, C. V.: Fuzzy Sets in Decisions Support Systems, Human Systems Management, Vol. 4, 1983, 27–33Google Scholar
  84. 84.
    Brown, R. W. and Shapiro, J. F.: LOGS—A Modeling and Optimization System for Business Planning, in X-47, 1986, 227–241Google Scholar
  85. 85.
    Clark, A. J.: A System for the Specification and Generation of Matrices for Multi-Period Prod. Scheduling Models, in VIII.1. 1–32, 1970Google Scholar
  86. 86.
    Mills, R. E., Fetter, R. B., and Averill, R. F.: A Computer Language for Math. Progr. Formulation, Decision Sciences, Vol. 8, 1977, 427–444Google Scholar
  87. 87.
    Rowland, A. J. and Boudwin, N. K.: A Data and Model Management System in Exxon, in X-47, 1986, 253–259Google Scholar
  88. 88.
    Exxon: PLATOFORM—A Model Management Framework for Mathematical Programming, Exxon Monograph, Wiley, New York, 1984Google Scholar
  89. 89.
    Ketron: MPSIII DATAFORM User Manual, Ketron Inc., 1980Google Scholar
  90. 90.
    IBM: MPSX/370 Version 2, General Information Manual, IBM Form No. GH19–6549, 1988Google Scholar
  91. 91.
    IBM: MGRW, Program Reference Manual, IBM Form No. SH19–5014, 1977Google Scholar
  92. 92.
    Sperry Univac: GAMMA 3.4 Procedures Summary, Sperry Univac Computer Systems, No. UP-8200, Revision 1, 1977Google Scholar
  93. 93.
    Haverty System: OMNI Linear Programming System, User and Operating Manual, 1976Google Scholar
  94. 94.
    Haverly Systems: MAGEN, References Manual, 1977Google Scholar
  95. 95.
    Efstathiou, J., Rajkovic, V., and Bohanec, M.: Expert Systems and Rule Based Decision Support Systems, in X-47, 1986Google Scholar
  96. 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. 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, 132–137zbMATHGoogle Scholar
  98. 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, 59–62Google Scholar
  99. 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, 1988Google Scholar
  100. 100.
    Hummeltenberg, W.: Implementations of Special Ordered Sets in MP Software, Eur. J. of Oper. Res., Vol. 17, 1984, 1–15MathSciNetzbMATHGoogle Scholar
  101. 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, 693–703Google Scholar
  102. 102.
    Whitaker, D.: OR on the Micro, Wiley, New York, 1984Google Scholar
  103. 103.
    Krallmann, H.: Betriebliche Entscheidungsunterstützungssysteme, in VIII.1. 1–57, 1985, 58 1593Google Scholar
  104. 104.
    Brown, R., Shapiro, J. F., and Waterman, P. J.: Parallel Computing for Prod. Scheduling, Manuf. Systems, Vol. 6, No. 10, 1988, 56–64Google Scholar
  105. 105.
    Jarmai, K.: Single and Multicriteria Optimization as a Tool of Decision Support System, Computers in Industry, Vol. 11, No. 3, 1989, 249–266Google Scholar
  106. 106.
    Lootsma, F. A. and Ragsdell, K. M.: State-of-the-Art in Parallel Nonlin. Optimiz., Parallel Comput., Vol. 6, No. 2, 1988, 133–155MathSciNetzbMATHGoogle Scholar
  107. 107.
    Millham, C. B.: Search Procedure for Solving Small Nonlinear Programs on Small Computers, Adv. Eng. Software, Vol. 9, No. 2, 1987, 74–76Google Scholar
  108. 108.
    Colville, A. R.: A Comparative Study on Nonlinear Programming Codes, IBM New York Scientific Center, Report No. 320–2949, 1968Google Scholar
  109. 109.
    Beale, E. M. L.: Nonlinear Programming Using SCICONIC and Related Software, Report, Scicon Ltd., Milton Keynes, England, 1983Google Scholar
  110. 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, 1986Google Scholar
  111. 111.
    Schittkowski, K.: Nonlinear Programming Codes, Springer, Lecture Notes in Economics and Math. Systems No. 183, Springer, 1980Google Scholar
  112. 112.
    Crowder, H., Dembo, R. S., and Mulvey, J. M.: Reporting Computational Experiments with Math. Software, Math. Progr., Vol. 5, 1978Google Scholar
  113. 113.
    Haddock, J.: User-Oriented Mathematical Operations Research Software, Appl. Math. Modelling, Vol. 12, No. 3, 1988, 268–272Google Scholar
  114. 114.
    Uhlmann, A.: Lin. Progr. on a Micro Computer—An Application in Refinery Modelling, Eur. J. Oper. Res., Vol. 35, No. 3, 1980, 321Google Scholar
  115. 115.
    Janczyk, W. K. and Beasley, J. E.: Multiple-Model OR Packages, J. Oper. Res. Soc., Vol. 39, No. 5, 1988, 487–509Google Scholar
  116. 116.
    Beasley, J. E.: Supercomputers and OR, J. Oper. Res. Soc., Vol. 38, No. 11, 1987, 1085–1089Google Scholar
  117. 117.
    Rider, E.: General Computer Solution of Dynamic Progr. Problems with Integer Restrictions, Doct. Thesis, Univ. of Arizona, 1971Google Scholar
  118. 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, 1988Google Scholar
  119. 119.
    Richter, M. M.: AI-Concepts and OR-Tools in Advanced DSS, Decision Support Systems, Vol. 4, No. 4, 1988Google Scholar
  120. 120.
    Van Hee, K. M. and Lapinski, A.: OR and AI Approaches to Decision Support Systems, Decision Support Systems, Vol. 4, No. 4, 1988Google Scholar
  121. 121.
    Er, M. C.: Decision Support Systems—A Summary, Problems and Future Trends, Decision Support Systems, Vol. 4, No. 3, 1988Google Scholar
  122. 122.
    IBM: Optimization Subroutine Library (OSL), Guide and Reference, IBM Form No. SC23–0519, 1990Google Scholar
  123. 123.
    Ortega, M. and Troya, J.: Live Nodes Distribution in Parallel Branch and Bound Algorithms, Microprocess Microprogram, Vol. 25, 1989Google Scholar
  124. 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, 69–75Google Scholar
  125. 125.
    Dolk, D. R.: Model Management and Structured Modeling—The Role of an Information Resource Dictionary System, Commun. ACM, Vol. 31, No. 6, 1988, 704–718Google Scholar
  126. 126.
    Hruschka, H.: Neuere Ansätze der Repräsentation von Methoden-und Modellwissen in betriebsw. Entscheidungsunterstützungssystemen, Angew. Inf., Vol. 30, No. 4, 1988, 158–168Google Scholar
  127. 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, 1–5Google Scholar
  128. 128.
    Weisman, J.: MINIMAL, a Combined Optimization Technique, Engineering Design Optimization under Conditions of Risk, Ph.D. Diss., Univ. of Pittsburgh, PA, 1968Google Scholar
  129. 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, 736–773MathSciNetzbMATHGoogle Scholar
  130. 130.
    Fourer, R.: Modelling Languages Versus Matrix Generators for Linear Programming, ACM Trans. on Math. Software, Vol. 9, No. 2, 1983, 143–183Google Scholar
  131. 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, 1982Google Scholar
  132. 132.
    Crowder, H. P. and Saunders, P. B.: Results of a Survey on MP Software Indicators, Committee on Algor. Newsl. of MPS, Jan. 1980, 2–7Google Scholar
  133. 133.
    White, W. W. (Ed.): Computers and Mathematical Programming, NBS Special Publ. 502, US Gov. Printing Office, Washington, DC, 1978Google Scholar
  134. 134.
    Dembo, R. S. and Mulvey, J. M.: On the Analysis and Comparison of Math. Progr. Algorithms and Software, in X-133, 1978, 106–116Google Scholar
  135. 135.
    Schnabel, R. B.: Parallel Computing in Optimization, VII1.1.1–92, 1984, 357–381Google Scholar
  136. 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, 625–636zbMATHGoogle Scholar
  137. 137.
    Schrage, L. E.: User Manual for LINDO, Sci. Press, Polo Alto, 1981Google Scholar
  138. 138.
    Roy, A., Lasdon, L. S., and Plane, D.: End-User Optimization with Spreadsheet Models, Eur. J. Oper. Res., Vol. 39, 1989, 131–137Google Scholar
  139. 139.
    Cunningham, C. and Schrage, L.: Optimization in Spreadsheets with VINO, Scientific Press, Palo Alto, CA., 1985Google Scholar
  140. 140.
    Savage, S.: The ABC’s of Optimization with What’s Best !, Holden-Day, Oakland, C.A., 1986Google Scholar
  141. 141.
    Plane, D. R.: Quantitative Tools for Decision Support Using IFPS, Addison Wesley, Reading, MA., 1986Google Scholar
  142. 142.
    Execucom Systems Corp.: IFPS/Optimum User’s Manual, Austin, TX., 1986Google Scholar
  143. 143.
    Frumkin, M. A.: Systolic Calculator for Solving Linear Programming Problems, Soy. J. Comp. Sys. Sci., Vol. 26, No. 4, 1988, 149–156MathSciNetzbMATHGoogle Scholar
  144. 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, 79–95MathSciNetzbMATHGoogle Scholar
  145. 145.
    Scicon: SCICONIC/VM User Guide, Version 1. 40, Scicon Ltd., Milton Keynes, 1986Google Scholar
  146. 146.
    Beale, E. M. L.: The Evolution of Mathematical Programming Systems, J. Oper. Res. Soc., Vol. 36, No. 5, 1985, 357–366Google Scholar
  147. 147.
    Mitra, G., Tamiz, M., and Yadegar, J.: FORTLP—A Linear, Integer and Nonlin. Progr. System, Preliminary User’s Maunal, Brunel Univ., England, July 1985Google Scholar
  148. 148.
    Control Data Corp.: APEX III Reference Manual, Version 1.1., Mineapolis, Minn., 1977Google Scholar
  149. 149.
    More, J. J., Garbow. B. S. and Hillstrom, K. E.: Testing Unconstrained Optimization Software, ACM Transactions on Math. Softw., Vol. 7, 1981, 17–41MathSciNetzbMATHGoogle Scholar
  150. 150.
    Van Laarhoven, P. J. M.: Parallel Variable Metric Methods for Unconstrained,Optimization, Math. Progr., Vol. 33, 1985, 68–81zbMATHGoogle Scholar
  151. 151.
    Rall, L. B.: Automatic Differentiation—Techniques and Applications, Springer, Berlin, 1981zbMATHGoogle Scholar
  152. 152.
    Schittkowski, K.: NLPQL—A FORTRAN Subroutine Solving Constrained Nonlin. Progr. Problems, Working Paper, Univ. Stuttgart, 1984Google Scholar
  153. 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, 1987Google Scholar
  154. 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, 375MathSciNetzbMATHGoogle Scholar
  155. 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, 1982Google Scholar
  156. 156.
    Day, R. E.: MAGIC—User’s Guide, Dept. Business Studies, University of Edinburgh, 1984Google Scholar
  157. 157.
    Greenberg, H. J. (Ed.): Design and Implementation of Optimization Software, Sijthoff & Noordhoff, The Netherlands, 1978Google Scholar
  158. 158.
    Orchard-Hays, W.: History of Mathematical Programming Systems, in X-157, 1978, 1–26Google Scholar
  159. 159.
    Orchard-Hays, W.: Scope of Mathematical Programming Software, inX-157, 1978, 27–40Google Scholar
  160. 160.
    Orchard-Hays, W.: Anatomy of Mathematical Programming Systems, in X-157, 1978, 41–102Google Scholar
  161. 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, 421–448MathSciNetzbMATHGoogle Scholar
  162. 162.
    Goos, G. and Hartmans, J. (Eds.): Lecture Notes in Computer Science, Vol. 268, Springer, Berlin, 1987Google Scholar
  163. 163.
    Quinn, M. J.: Designing Efficient Algorithms for Parallel Computers, McGraw-Hill, New York, 1987zbMATHGoogle Scholar
  164. 164.
    Kindervater, G. A. P. and Lenstra, J. K.: An Introduction to Parallelism in Combinatorial Optimization, Discrete Appl. Math., Vol. 14, 1986, 135–156MathSciNetzbMATHGoogle Scholar
  165. 165.
    Dekel, E. and Sahni, S.: Parallel Scheduling Algorithms, Oper. Res., Vol. 31, 1983, 24–49zbMATHGoogle Scholar
  166. 166.
    Pruul, E. A.: Parallel Processing and a Branch-and-Bound Algorithm, M. Sc. Thesis, Cornell Univ., Ithaca, N. Y., 1975Google Scholar
  167. 167.
    Casti, J. Richardson, M., and Larson, R.: Dynamic Programming and Parallel Comp., J. Optim. Theory Appl., Vol. 12, 1973, 423–438Google Scholar
  168. 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, 245zbMATHGoogle Scholar
  169. 169.
    Lai, T. H. and Sahni, S.: Anomalies in Parallel Branch-and-Bound Algorithms, Comm. of the ACM, Vol. 27, No. 6, 1984, 594–602MathSciNetzbMATHGoogle Scholar
  170. 170.
    Pan, V. and Reif, J.: Efficient Parallel Linear Programming, Oper. Res. Letters, Vol. 5, No. 3, 1986, 127–135MathSciNetzbMATHGoogle Scholar
  171. 171.
    Glover, F.: Future Paths for Integer Programming and Links to Artif. Intell., Comp. Oper. Res., Vol. 13, No. 5, 1986, 533–549MathSciNetzbMATHGoogle Scholar
  172. 172.
    Rich, E.: Artificial Intelligence, Mc Graw-Hill, New York, 1983Google Scholar
  173. 173.
    Pearl, J.: Heuristics—Intelligent Search Strategies for Computer Problem Solving, Addison-Wesley, Reading, Mass., 1984Google Scholar
  174. 174.
    Greenberg, X. and Maybee, X. (Eds.): Computer Assisted Analysis and Model Simplification, Academic Press, New York, 1981zbMATHGoogle Scholar
  175. 175.
    Land, A. H. and Powell, S.: Computer Codes for Problems of Integer Programming, in VIII.1. 4–76, 1979, 221–269MathSciNetGoogle Scholar
  176. 176.
    Wright, M. H.: A Survey of Available Software for Nonlinearly Constrained Optimization, Techn. Rep. SOL 78–4, Dept. of Oper. Res., Stanford Univ., 1978Google Scholar
  177. 177.
    Dembo, R. S.: Current State-of-the-Art of Algorithms and Computer Software for Geometric Programming, J. Optim. Theory Appl., Vol. 26, 1978, 149–184MathSciNetzbMATHGoogle Scholar
  178. 178.
    Rijckaert, M. J.: Computational Aspects of Geometric Programming, in X-157, 1978, 481–505Google Scholar
  179. 179.
    Sanchez, E.: Fuzzy Information, Knowledge Representation and Decision Analysis, Marseille, 1984zbMATHGoogle Scholar
  180. 180.
    Glover, F., Hultz, J., Klingman, D., and Stutz, J.: Generalized Networks—A Fundamental Computer-Based Planning Tool, Mgmt. Sci., Vol. 24, 1978, 1209–1220Google Scholar
  181. 181.
    Deininger, R. A.:Teaching Linear Programming on a Micro-Computer, Interfaces, Vol. 13, No. 4, 1983, 30–33Google Scholar
  182. 182.
    Schittkowski, K.: Software for Mathematical Programming, in VIII.1. 1–92, 1984, 383–451Google Scholar
  183. 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, 1990Google Scholar
  184. 184.
    Mulvey, J. M. (Ed.): Evaluating Mathematical Programming Techniques, Springer,Berlin, 1982Google Scholar
  185. 185.
    Dembo, R. S.: A Set of Geometric Test Problems and Their Solutions, Math. Progr., Vol. 10, 1976, 192–213MathSciNetzbMATHGoogle Scholar
  186. 186.
    Rosen, J. B. and Suzuki, S.:Construction of Nonlinear Programming Test Problems, Comm. ACM, Vol. 8, 1965Google Scholar
  187. 187.
    Korst, J. H. M. and Aarts, E. H. L.: Combinatorial Optimization on a Boltzmann Machine, J. Parallel and Distributed Computing, 1988Google Scholar
  188. 188.
    Hopfield, J. J. and Tank, D. W.: Neural Computation of Decisions in Optimization Problems, Biological Cybern., Vol. 52, 1985, 141–152MathSciNetzbMATHGoogle Scholar
  189. 189.
    Hopfield, J.J.: Neural Networks and Physical Systems with Emergent Collective Computational Abilities, Proc. Nat. Acad. Sciences, Vol. 79, 1982, 2554–2558MathSciNetGoogle Scholar
  190. 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, 34–51Google Scholar
  191. 191.
    Hopfield, J. J.: Artificial Neural Networks, IEEE Circuits Devices Mag., Vol. 4, No. 5, 1988, 3–10Google Scholar
  192. 192.
    IBM: Catalog of Engineering and Scientific Application Programs Avail. From Non-IBM Sources, IBM Corporation, Rye Brock, NY, 1988Google Scholar
  193. 193.
    Dembo, R. S.: A Set of Geometric Test Problems and their Solutions, Math. Progr., Vol. 10, 1976, 192–213MathSciNetzbMATHGoogle Scholar
  194. 194.
    Darema, F., Krikapatrick, S., and Norton, V. A.: Parallel Algorithms for Chip Placement by Simulated Annealing, IBM J. Res and Dev., May 1987, 391Google Scholar
  195. 195.
    IBM: IBM Mathematical Programming System Extended /370 (MPSX/370) Version 2, Getting Started, Form-No. SH19–6586, 1988Google Scholar
  196. 196.
    Hock, W. and Schittkowski, K.: A Comparative Performance Evaluation of 27 Nonlinear Progr. Codes, Computing, Vol. 30, 1983, 335–358MathSciNetzbMATHGoogle Scholar
  197. 197.
    IBM: Introduction OSL, IBM Form No. GC23–0517, 1989Google Scholar
  198. 198.
    Parlar, M.: Solving Dynamic Optimization Problems on a Personal Computer Using Electronic Spreadsheets, Automatica, Vol. 25, No. 1, 1989, 97–101MathSciNetzbMATHGoogle Scholar
  199. 199.
    Lustig, I. J.: Analysis of an Available Set of Linear Programming Test Problem, Comp. & Oper. Res., Vol. 16, No. 2, 1989, 173–184zbMATHGoogle Scholar
  200. 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, 1–11zbMATHGoogle Scholar
  201. 201.
    Schrage, L.: Linear, Integer and Quadratic Programming with LINDO, The Scientific Press, Palo Alto, 1984Google Scholar
  202. 202.
    Horowitz, E. and Sahni, S.: Fundamentals of Computer Algorithms, Maryland, Computer Science Press, 1984Google Scholar
  203. 203.
    Brennan, J. J. and Elam, J.: Understanding ans Validating Results im Model-Based Decision Support Systems, Decision Suppert Syst., Vol. 2, 1986, 49–54Google Scholar
  204. 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, 449–470MathSciNetzbMATHGoogle Scholar
  205. 205.
    Kusiak, A. and Heragu, S. S.: Expert Systems and Optimization, IEEE Transactions on Software Engineering, Vol. 15, No. 8, 1989, 1017–1020Google Scholar
  206. 206.
    Ho, J.: Linear and Dynamic Programming with Lotus 1–2–3, MIS Press, Portland, Oregon, 1987Google Scholar
  207. 207.
    Jennergren, L. P.: OR and Micros, European J. Operational Research, Vol. 20, 1985, 1–9Google Scholar
  208. 208.
    Golden, B. L., Assad, A. A., and Wasil, E. A. (Eds.): Microcomputers in Oper. Res., Comput. Oper. Res., Vol. 13, Special Issue, 1986, 105–366Google Scholar
  209. 209.
    Orchard-Hays, W.: Evolution of Linear Programming Computing Techniques, Mgmt. Sci., Vol. 4, 1958, 183–190MathSciNetzbMATHGoogle Scholar
  210. 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, 497–512MathSciNetGoogle Scholar
  211. 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., 1988Google Scholar
  212. 212.
    Aho, A. V., Hoperoft, J. E., and Ullman, J. D.: The Design and Analysis of Computer Algorithms, Addison-Wesley, Reading, Mass., 1974zbMATHGoogle Scholar
  213. 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., 1987Google Scholar
  214. 214.
    Welch, J.: PAM—A Practitioner’s Approach to Modeling, Management Science, Vol. 33, 1987, 610–625Google Scholar
  215. 215.
    Cunningham, K. and Schrage, L.: The LINGO Modeling Language, LINDO Systems, Chicago, Ill., 1988Google Scholar
  216. 216.
    Geoffrion, A.: An Introduction to Structured Modeling, Management Science, Vol. 33, No. 5, 1987, 547–588Google Scholar
  217. 217.
    Roy, A., Lasdon, L., and Lordeman, J.: Extending Planning Languages to Include Optimiz. Capabil., Mgmt. Sci., Vol. 32, 1986,. 360–373Google Scholar
  218. 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, 34–50zbMATHGoogle Scholar
  219. 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, 147Google Scholar
  220. 220.
    Liebman, J., Schrage, L., Lasdon, L. S., and Waren, A. D.: Modelling ans Optimization with GINO, Scientific Press, Palo Alto, CA., 1986Google Scholar
  221. 221.
    Baker, T. E.: The Current State of Optimization Software—A User’s Point of View, in VIII.1. 5–08, 1981, 353–359Google Scholar
  222. 222.
    Price, W. L.: Global Optimization Algorithms for a CAD Workstation, J. Opt. Theory and Appl., Vol. 55, No. 1, 1987, 133–146zbMATHGoogle Scholar
  223. 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, 1989Google Scholar
  224. 224.
    Culioli, J.-C. and Protopopescu, V.: Bifurcating Optimization Algorithms and Their Possible Application, Oak Ridge National Lab., Tennessee, 1988Google Scholar
  225. 225.
    Ketron: MPSIII User’s Manual, Revision 11, Ketron Inc., Arlington, VA., June 1984Google Scholar
  226. 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, 1–11MathSciNetGoogle Scholar
  227. 227.
    Ignizio, J. P. and Perlis, J. H.: Sequential Linear Goal Programming—Implement. Via MPSX, Comp. and Oper. Res., Vol. 3, 1980, 217–225Google Scholar
  228. 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, 277–301Google Scholar
  229. 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, 922–933Google Scholar
  230. 230.
    Dekel, E. and Sahni, S.: Binary Trees and Parallel Scheduling Algorithms IEEE Trans. Comput., Vol. 32, 1983, 307–315zbMATHGoogle Scholar
  231. 231.
    Wah, B. W., Li, G. J., and Yu, C. F.: Multiprocessing of Combinatorial Search Problems, Computer, Vol. 8, No. 6, 1985, 93–108Google Scholar
  232. 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, 13–31MathSciNetGoogle Scholar
  233. 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, 525–530Google Scholar
  234. 234.
    IBM: Optimal Layout for Satellite Systems Using Math. Progr. Syst. Extended/370 Version 2, IBM-Form No. G511–1285, 1989Google Scholar
  235. 235.
    Mor, M. and Fraenkel, A. S.: Permutation Generation on Vector Proc., The Computer J., Vol. 25, No. 4, 1982, 423–428MathSciNetzbMATHGoogle Scholar
  236. 236.
    Zaks, S.: A New Algorithm for Generation of Permutations, BIT, Vol. 24, No. 2, 1984, 196–204MathSciNetzbMATHGoogle Scholar
  237. 237.
    Gupta, P. and Bhattacharjee, G. P.: Parallel Generation of Permutations, The Computer J., Vol. 26, No. 2, 1983, 97–105MathSciNetzbMATHGoogle Scholar
  238. 238.
    Chen, G. H. and Chern, M.-S.: Parallel Generation of Permutations and Combinations, BIT, Vol. 26, 1986, 277–283MathSciNetzbMATHGoogle Scholar
  239. 239.
    Land, A. H. and Powell, S.: FORTRAN Codes for Mathematical Programming, Wiley, New York, 1973zbMATHGoogle Scholar
  240. 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, 119–122MathSciNetzbMATHGoogle Scholar
  241. 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, 473–480Google Scholar
  242. 242.
    Mohan, J.: Experience with Two Parallel Programs Solving the Travelling Salesperson Problem, Proc. Int. Conf. on Prallel Proc., 1983, 191–193Google Scholar
  243. 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, 273–306zbMATHGoogle Scholar
  244. 244.
    Schnabel, R. B.: Concurrent Function Evaluations in Local and Global Optimization, Comp. Meth. in Appl. Mechanics and Eng., Vol. 64, 1987, 537–552MathSciNetzbMATHGoogle Scholar
  245. 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, 985Google Scholar
  246. 246.
    Noetzel, A. S. and Graziano, M. J.: Global Combinatorial Optimization by Neural Networks, Vol. 1, No. 1, 1988Google Scholar
  247. 247.
    Drud, A.: Alternative Model Formulations in Nonlinear Progr.,—Some Dissastrous Results, Oper. Res., Vol. 33, No. 1, 1985, 218–222MathSciNetzbMATHGoogle Scholar
  248. 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., 1989Google Scholar
  249. 249.
    Gutterman, M. M.: Efficient Implementation of a Branch and Bound Algor., Standard Oil Company, Indiana, Undated Doc., approx. 1970Google Scholar
  250. 250.
    Paules, G. E. and Floudas, C. A.: APROS—Algorithmic Development Methodology for Discrete-Continuous Optimization Problems, Oper. Res., Vol. 37, No. 6, 1989, 902–915zbMATHGoogle Scholar
  251. 251.
    Pabst, R.: Verwendungsmöglichkeiten der externen Speichermedien von EDV-Anlagen bei der Lösung bestimmter Aufgaben der Diskreten Optimierung, Diplomarbeit, TU Dresden, 1978Google Scholar
  252. 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, 1989Google Scholar
  253. 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, 29–60Google Scholar
  254. 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 UnivGoogle Scholar
  255. 255.
    Curry, G. L., Deuermeyer, B. L., and Feldman, R. M.: Discrete Simulation—Fundamentals and Microcomputer Support, Holden-Day, San Francisco, California, 1989Google Scholar
  256. 256.
    Sharada, R. and Somarajan, C.: Comparative Performance of Advanced Microcomp. LP Systems, Comp. & Oper. Res., Vol. 13, 1986, 131–148Google Scholar
  257. 257.
    Zionts, S. and Wallenius, J.: An Interactive Programming Method for Solving the Multiple Criteria Problem, Mgmt. Sci., Vol. 22, 1976, 652–663zbMATHGoogle Scholar
  258. 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, 1987Google Scholar
  259. 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, 1988Google Scholar
  260. 260.
    Ritter, H., Martinetz, K. und Schulten, K.: Neuronale Netze—Eine Einführung in die Neuroinformatik selbstorganisierender Netzwerke, Addison-Wesley, Reading, Mass., 1990Google Scholar
  261. 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, 195–220Google Scholar
  262. 262.
    Beasley, J. E.: Linear Programming on Cray Supercomputers, J. Oper. Res. Soc. (UK), Vol. 41, No. 2, 1990, 133–139zbMATHGoogle Scholar
  263. 263.
    Kümmerling, H.: JARO/KWOPT—Ein Programmsystem zur Ermittlung der Optimalen Strombeschaffung für EVU, Elektrizitätswirtschaft, Vol. 89, Heft 13, 1990, 742–746Google Scholar
  264. 264.
    Fourer, R., Gay, D. M., and Kernighan, B. W.: A Modelling Language for Math. Progr., Mgmt. Sci., Vol. 36, No. 5, 1990, 519–554zbMATHGoogle Scholar
  265. 265.
    Kennedy, M. P. and Chua, L. O.: Neural Networks for Nonlinear Programming, IEEE Trans. Circuit Syst., Vol. 35, 1988, 554–562MathSciNetGoogle Scholar
  266. 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, 384–398MathSciNetGoogle Scholar
  267. 267.
    Adams, D. A.: Parallel Processing Implications for Management Scientists, Interfaces, Vol. 20, No. 3, 1990, 88–98Google Scholar
  268. 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, 333–342MathSciNetzbMATHGoogle Scholar
  269. 269.
    Finlay, P. N. and Wilson, J. N.: Orders of Validation in Mathematical Modelling, J. Oper. Res. Soc. (UK), Vol. 41, No. 2, 1990, 103–109Google Scholar
  270. 270.
    Arbib, M. A.: Brains, Machines, and Mathematics, Springer Verlag, New York, 2nd Edition, 1987Google Scholar
  271. 271.
    Holland, J. H.: Adaption in Natural and Artificial Systems, Univ. of Michigan Press, Ann Arbor, Michigan, 1975Google Scholar
  272. 272.
    Zenios, S. A.: Integrating Network Optimization Capabilities into a High-Level Modeling Language, ACM Trans. Math. Softw., Vol. 16, No. 2, 1990, 113–142MathSciNetzbMATHGoogle Scholar
  273. 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, 793–813MathSciNetzbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • Kurt Littger
    • 1
  1. 1.MünchenDeutschland

Personalised recommendations