A memetic algorithm for minimizing the makespan in the Job Shop Scheduling problem
The Job Shop Scheduling Problem (JSP) is a combinatorial optimization problem cataloged as type NP-Hard. To solve this problem, several heuristics and metaheuristics have been used. In order to minimize the makespan, we propose a Memetic Algorithm (MA), which combines the exploration of the search s...
主要な著者: | Lamos-Díaz, Henry, Aguilar-Imitola, Karin, Pérez-Díaz, Yuleiny Tatiana, Galván-Núñez, Silvia |
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フォーマット: | Online |
言語: | eng |
出版事項: |
Universidad Pedagógica y Tecnológica de Colombia
2017
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主題: | |
オンライン・アクセス: | https://revistas.uptc.edu.co/index.php/ingenieria/article/view/5776 |
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