Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
TWO NEW GA-BASED METHODS FOR MULTIOBJECTIVE OPTIMIZATION
In this paper, we introduce two new multiobjective optimization techniques based on the genetic algorithm (GA), and implemented as part of a multiobjective optimization tool called MOSES (Multiobjective Optimization of Systems in the Engineering Sciences). These methods are based in the concept of min-max optimum, and can produce the Pareto set and the best trade-off among the objectives. The results produced by these approaches are compared to those produced with other mathematical programming techniques and GA-based approaches using two engineering design problems, showing the new techniques' capability to generate better trade-offs than the approaches previously reported in the literature.
TWO NEW GA-BASED METHODS FOR MULTIOBJECTIVE OPTIMIZATION
In this paper, we introduce two new multiobjective optimization techniques based on the genetic algorithm (GA), and implemented as part of a multiobjective optimization tool called MOSES (Multiobjective Optimization of Systems in the Engineering Sciences). These methods are based in the concept of min-max optimum, and can produce the Pareto set and the best trade-off among the objectives. The results produced by these approaches are compared to those produced with other mathematical programming techniques and GA-based approaches using two engineering design problems, showing the new techniques' capability to generate better trade-offs than the approaches previously reported in the literature.
TWO NEW GA-BASED METHODS FOR MULTIOBJECTIVE OPTIMIZATION
Coello, Carlos A. Coello (Autor:in) / Christiansen, Alan D. (Autor:in)
Civil Engineering and Environmental Systems ; 15 ; 207-243
01.12.1998
37 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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