Proceedings Article10.1109/WCICA.2000.860050
GA-based multi-objective optimization
Li Mingqiang,Kou Jisong,Dai Lin +2 more
- 28 Jun 2000
- Vol. 1, pp 637-640
13
TL;DR: In this article, a hybrid algorithm for finding a set of multi-solutions of multiobjective optimization problems is proposed, where a genetic algorithm is adopted to solve the multi-modal function optimization problem, a local search procedure is applied to each solution generated by genetic operations.
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Abstract: Proposes a hybrid algorithm for finding a set of multi-solutions of multi-objective optimization problems. In the proposed algorithm, a genetic algorithm is adopted to solve the multi-modal function optimization problem, a local search procedure is applied to each solution generated by genetic operations. The aim of the proposed algorithm is not only to determine the global optimal solution, but also to try to find all the non-dominated solutions of a multi-objective optimization problem. The choice of the final solution set is left to the decision maker's preference. High search ability of the proposed algorithm is demonstrated by computer simulation.
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