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[SB7 Heuristics/Meta-Heuristics] Multi-objective job shop scheduling using a competitive coevolutionary algorithm
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[SB7 Heuristics/Meta-Heuristics] 경쟁 공진화알고리듬을 이용한 다목적 Job Shop 일정계획

논문 기본 정보

Type
Proceeding
Author
Journal
The Korean Operations Research and Management Science Society 한국경영과학회 학술대회논문집 한국경영과학회/대한산업공학회 2003 춘계공동학술대회
Published
2003.5
Pages
1,075 - 1,080 (6page)

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[SB7 Heuristics/Meta-Heuristics] Multi-objective job shop scheduling using a competitive coevolutionary algorithm
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Research history (2)

2003

Multi-objective job shop scheduling using a competitive coevolutionary algorithm
이현수 ,  신경석 ,  김여근 대한산업공학회 춘계공동학술대회 논문집 2003.05 Proceeding
[SB7 Heuristics/Meta-Heuristics] Multi-objective job shop scheduling using a competitive coevolutionary algorithm
신경석 ,  김여근 한국경영과학회 학술대회논문집 2003.05 Proceeding
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Abstract· Keywords

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Evolutionary algorithm is recognized as a promising approach to solving multi-objective combinatorial optimization problems. When no preference information of decision makers is given, multi-objective optimization problems have been commonly used to search for diverse and good Pareto optimal solution. In this paper we propose a new multi-objective evolutionary algorithm based on
competitive coevolutionary algorithm, and demonstrate the applicability of the algorithm. The proposed algorithm is designed to promote both population diversity and rapidity of convergence. To achieve this, the strategies of fitness evaluation and the operation of the Pareto set are developed. The algorithm is applied to job shop scheduling problems (JSPs). The JSPs have two objectives: minimizing makespan and minimizing earliness or tardiness. The proposed algorithm is compared with existing evolutionary algorithms in terms of solution quality and diversity. The experimental results reveal the effectiveness of our approach.

Contents

Abstract

1. 서론

2. Job shop 일정계획

3. 다목적 JSP를 위한 경쟁 공진화 알고리듬

4. 진화요소

5. 실험설계와 결과분석

6. 결론

감사의 글

참고문헌

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