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A Hybrid of Evolutionary Search and Local Heuristic Search for Combinatorial Optimization Problems
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  • A Hybrid of Evolutionary Search and Local Heuristic Search for Combinatorial Optimization Problems
  • A Hybrid of Evolutionary Search and Local Heuristic Search for Combinatorial Optimization Problems
저자명
Park. Lae-Jeong,Park. Cheol-Hoon
간행물명
International journal of fuzzy logic and intelligent systems
권/호정보
2001년|1권 1호|pp.6-12 (7 pages)
발행정보
한국지능시스템학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Evolutionary algorithms(EAs) have been successfully applied to many combinatorial optimization problems of various engineering fields. Recently, some comparative studies of EAs with other stochastic search algorithms have, however, shown that they are similar to, or even are not comparable to other heuristic search. In this paper, a new hybrid evolutionary algorithm utilizing a new local heuristic search, for combinatorial optimization problems, is presented. The new intelligent local heuristic search is described, and the behavior of the hybrid search algorithm is investigated on two well-known problems: traveling salesman problems (TSPs), and quadratic assignment problems(QAPs). The results indicate that the proposed hybrid is able to produce solutions of high quality compared with some of evolutionary and simulated annealing.