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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2005.1
- 수록면
- 141 - 146 (6page)
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초록· 키워드
오류제보하기
For a long time, genetic algorithms have been recognized as a new method to solve difficult and complex problems and the performance of genetic algorithms depends on genetic operators, especially crossover operator. Various problems like the traveling salesman problem, the transportation problem or the job shop problem, in logistics engineering can be modeled as a sequencing problem. This paper proposes modified genetic crossover operators to be used at various sequencing problems and uses the traveling salesman problem to be applied to a real world problem like the delivery problem and the vehicle routing problem as a benchmark problem. Because the proposed operators use parental information as well as network information, they could show better efficiency in performance and computation time than conventional operators.
목차
등록된 정보가 없습니다.
참고문헌 (12)
참고문헌 신청
/ 1985 / Applying Adaptive Algorithms to Domains Proc. of the International Joint Conference on Artificial Intelligence : 162 ~ 164
/ 1985 / Genetic Algorithms for the Traveling Salesman Problem Proceedings of the First International Conference on Genetic Algorithms and Their Applications : 160 ~ 168
/ 1985 / Proceedings of the First International Conference on Genetic Algorithms and Their Applications : 154 ~ 159
/ 1989 / A Study of Permutation Crossover Operators on the Traveling Salesman Problem Proc. of the Second International Conference on Genetic Algorithms : 224 ~ 230
/ 1989 / Genetic Algorithms in Search
/ 1985 / Genetic Algorithms for the Traveling Salesman Problem Proceedings of the First International Conference on Genetic Algorithms and Their Applications : 160 ~ 168
/ 1985 / Proceedings of the First International Conference on Genetic Algorithms and Their Applications : 154 ~ 159
/ 1989 / A Study of Permutation Crossover Operators on the Traveling Salesman Problem Proc. of the Second International Conference on Genetic Algorithms : 224 ~ 230
/ 1989 / Genetic Algorithms in Search
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