Vector Optimization Techniques.

Abstract

Multiple Objective Optimization Theory (MOOT) techniques are receiving increasing attention due to their ability to incorporate salient non-commensurate and conflicting objectives of an analysis or design situation into the choice making process. A common implementation of MOOT is by way of a vector optimization process. Vector Optimization is used for generating optimum solutions for alternatives which extremize the components of a vectors of objective functions or performance indices. The weighting anc constraint techniques are presented as ways of practically implementing an optimization process for a vectors of cost functions to generate a Pareto optimal or non-dominated solution set. Computer programs are discussed which accomplish the vectors optimization process for the parameter optimization class of linear problems (MOOTLP) and non-linear problems (PROCES). A bibliographic summary of recent vector optimization efforts is included. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1983
Accession Number
ADA139497

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  • A. R. Dewispelare

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  • Air Force Institute of Technology

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