지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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Literature survey shows that only a few papers deal with comprehensive supply chain models with both forward and reverse flows. The goal of this study is to propose a comprehensive closed-loop model integrating forward and reverse logistics for the supply chain network design and to design a cooperative coevolutionary algorithm(CCEA) as a heuristic approach to get a good approximate solution. Mathematical model is formulated first, and then CCEA is designed as follows; First, the problem is broken down into eight subproblems. For each subproblem, a population of chromosomes is created, a chromosome is encoded using a permutation of integers, and a decoding method is suggested to get a partial solution. As genetic operators, binary tournament selection with elitist strategy, order crossover, and swap mutation are applied for evolving each of the subpopulations. To find feasible solutions satisfying a nonlinear constraint, a penalty method is adopted. The evaluation of a partial solution in a subpopulations is done by composing a complete solution with the best partial solutions from all the other subpopulations. Experimental results show that our CCEA in almost every case outperforms GA in terms of both the quality of solution obtained and the potential for solution improvement.
목차
1. 서론
2. 공급사슬 네트워크 설계 문제
3. 수리 모형
4. CCEA의 설계
5. 시뮬레이션
참고문헌
참고문헌 (27)
참고문헌 신청
2. [학술지(정기간행물)] - 한용호 / 2009 / 2 단계 수송문제에 대한 협력적 공진화 알고리즘 기반의 혁신적 해법 / 산업혁신연구 25 (4) : 227 ~ 251
6. [학술대회논문] - Danoy, G. / 2006 / hLCGA: A Hybrid Competitive Coevolutionary Genetic Algorithm / International Conference on Hybrid Intelligent Systems : 48 ~
7. [단행본] - Danoy, G. / 2009 / Overcoming Partitioning in Large Ad hoc Networks Using Genetic Algorithms / GECCO : 1347 ~ 1354
8. [학술지(정기간행물)] - Dekker, R. / 2012 / Operations Research for Green Logistics - An Overview of Aspects, Issues, Contributions and Challenges / European Journal of Operational Research 219 (3) : 671 ~ 679
9. [학술지(정기간행물)] - Dorronsoro, B. / 2013 / Achieving Super-Linear Performance in Parallel Multi-Objective Evolutionary Algorithms by Means of Cooperative Coevolution / Computers and Operations Research 40 (6) : 1552 ~ 1563
6. [학술대회논문] - Danoy, G. / 2006 / hLCGA: A Hybrid Competitive Coevolutionary Genetic Algorithm / International Conference on Hybrid Intelligent Systems : 48 ~
7. [단행본] - Danoy, G. / 2009 / Overcoming Partitioning in Large Ad hoc Networks Using Genetic Algorithms / GECCO : 1347 ~ 1354
8. [학술지(정기간행물)] - Dekker, R. / 2012 / Operations Research for Green Logistics - An Overview of Aspects, Issues, Contributions and Challenges / European Journal of Operational Research 219 (3) : 671 ~ 679
9. [학술지(정기간행물)] - Dorronsoro, B. / 2013 / Achieving Super-Linear Performance in Parallel Multi-Objective Evolutionary Algorithms by Means of Cooperative Coevolution / Computers and Operations Research 40 (6) : 1552 ~ 1563
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UCI(KEPA) : I410-ECN-0101-2015-320-001162750