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Computer Aided Multicriterion Optimization System (CAMOS)

  • Andrzej Osyczka
Part of the Lecture Notes in Engineering book series (LNENG, volume 42)

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.

Keywords

Iterative Method Optimum Design Problem Ideal Vector Nonlinear Programming Model Random Search Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin, Heidelberg 1989

Authors and Affiliations

  • Andrzej Osyczka
    • 1
  1. 1.The Technical University of CracowCracowPoland

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