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서지반출
A Method of Genetic Algorithm Based Multiobjective Optimization via Cooperative Coevolution
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  • A Method of Genetic Algorithm Based Multiobjective Optimization via Cooperative Coevolution
  • A Method of Genetic Algorithm Based Multiobjective Optimization via Cooperative Coevolution
저자명
Lee. Jong-Soo,Kim. Do-Young
간행물명
Journal of mechanical science and technology
권/호정보
2006년|20권 12호|pp.2115-2123 (9 pages)
발행정보
대한기계학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

The paper deals with the identification of Pareto optimal solutions using GA based coevolution in the context of multiobjective optimization. Coevolution is a genetic process by which several species work with different types of individuals in parallel. The concept of cooperative coevolution is adopted to compensate for each of single objective optimal solutions during genetic evolution. The present study explores the GA based coevolution, and develops prescribed and adaptive scheduling schemes to reflect design characteristics among single objective optimization. In the paper, non-dominated Pareto optimal solutions are obtained by controlling scheduling schemes and comparing each of single objective optimal solutions. The proposed strategies are subsequently applied to a three-bar planar truss design and an energy preserving flywheel design to support proposed strategies.