Publisher
Springer International Publishing
Reference70 articles.
1. Akhshabi, M., Tavakkoli-Moghaddam, R., & Rahnamay-Roodposhti, F. (2014). A hybrid particle swarm optimization algorithm for a no-wait flow shop scheduling problem with the total flow time. The International Journal of Advanced Manufacturing Technology, 70(5–8), 1181–1188.
2. Alaykýran, K., Engin, O., & Döyen, A. (2007). Using ant colony optimization to solve hybrid flow shop scheduling problems. The International Journal of Advanced Manufacturing Technology, 35(5–6), 541550.
3. Babayan, A., & He, D. (2004). Solving the n-job 3-stage flexible flowshop scheduling problem using an agent-based approach. International Journal of Production Research, 42(4), 777–799.
4. Behnamian, J., & Zandieh, M. (2013). Earliness and tardiness minimizing on a realistic hybrid flowshop scheduling with learning effect by advanced metaheuristic. Arabian Journal for Science and Engineering, 38(5), 1229–1242.
5. Bożejko, W., Pempera, J., & Smutnicki, C. (2013). Parallel tabu search algorithm for the hybrid flow shop problem. Computers & Industrial Engineering, 65(3), 466–474.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献