Vector Optimization Techniques.
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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
- Numerical Mathematics