Abstract
In the paper the optimization system oriented to computer aided design is des-cribed. The system enables the designer to solve single and multicriterion optimization problems for the nonlinear programming models with continuous, integer, discrete, and mixed design variables. Iterative methods for seeking the minimum of a function are supported by a random search method which is used for both seeking a good starting point and coping with discrete and integer variables. The system is designed to f acili It ate the inter-active processes considering both input/output information arrangements and multicriteria decision making problems. The optimization problem is introduced to the system by means of a problem oriented subroutine which is linked to the system and which can reflect any desires as to the data to be introduced and the optimization results to be printed. The system is coded in FORTRAN and prepared for an IBM PC/XT/AT.
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References
Atrek,E. et.al.: New Direction in Optimum Structural Design. Chichester, New York, John Wiley & Sons, 1984
Chonkong,V. and Haimes,Y.Y.: The Interactive Surrogate Worth Trade-off (ISWT) Method for Multiobjective Decision Making. In: S. Zionts (ed.): Multiple Criterion Problem Solving: Berlin, New York, Springer-Verlag, 1977
Choo,E.U. and Atkins,D.R.: An Interactive Algorithm for Multicriteria Programming. Comput. and Ops. Res. Vol. 7, 81–87, 1980
Eschenauer, H. and Schäfer, E.; Interaktive Vektoroptimierung in der Strukturmechanik. Vortrag GAMM-Tagung vom 5.4.-8.4.1988 in Wien
Hammer,P.L., Johnson,E.L. and Korte,B.H.: Discrete Optimization, North-Holland, Amsterdam, 1979
Hlmmelblau,D.M.: Applied Nonlinear Programming, McGraw-Hill Company, New York, 1972
Hooke,R. and Jeves,T.A.: Direct Search Solution of Numerical and Statistical Problems, J. Assoc. Comp. Mech. Vol. 8, 221–225, 1961
Kowallk,J. and Osborne,M.R.: Methods for Unconstrained Optimization Problems. New York, American Elseview, 1968
Lee,J.K. and Hurst,E.G.: Decision Support Systems for Multiple Criteria Decision Making. Joint National Meeting of ORSA/TIMS, Dallas, November 1984
Nelder,J.A. and Mead,R.: A Simplex Method for Function Minimization. Computer J. 7, 390–313, 1965
Osyczka,A.: Multicriterion Optimization in Engineering with FORTRAN Programs. New York, Chichester. John Wiley, 1984
Osyczka, A.: An Interactive Multicriterion Decision Making System. System Analysis and Simulation Symposium, Berlin, 1985
Osyczka,A.: Computer Aided Multicriterion Optimization Method. Advances in Modelling and Simulation. AMSE Press, Vol. 3, No. 4, 41–52, 1985
Zionts,S. and Wallenlus,J.: An Interactive Programming Method for Solving the Multiple Criteria Problems, Mgmt. Sci., Vol. 22, No. 6, 632–663, 1976
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Osyczka, A. (1989). Computer Aided Multicriterion Optimization System (CAMOS). In: Eschenauer, H.A., Thierauf, G. (eds) Discretization Methods and Structural Optimization — Procedures and Applications. Lecture Notes in Engineering, vol 42. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83707-4_33
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DOI: https://doi.org/10.1007/978-3-642-83707-4_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-50784-0
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