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- W761820456 abstract "An optimization system, APROGA II using genetic algorithm, was developed to solve multi-modal and multiobjective problems. To begin with, Multi-Niche Crowding(MNC) algorithm was used for multi-modal optimization problem. Secondly, a new algorithm was suggested for multiobjective optimization problem. Pareto dominance tournaments and Sharing on the non-dominated frontier was applied to it to obtain multiple objectives. APROGA II uses these two algorithms and the system has three search engines(previous APROGA search engine, multi-modal search engine and multiobjective search engine). Besides, this system can handle binary and discrete variables. And the validity of APROGA II was proved by solving several test functions and case study problems successfully." @default.
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- W761820456 date "1997-01-01" @default.
- W761820456 modified "2023-09-27" @default.
- W761820456 title "A Study on Strengthened Genetic Algorithm for Multi-Modal and Multiobjective Optimization" @default.
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