Author:
Akyol Sebnem Demirkol,Baykasoğlu Adil
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Reference27 articles.
1. Akyol, S. D., & Bayhan, G. M. (2011). ‘A particle swarm optimization algorithm for maximizing production rate and workload smoothness. In Third World Congress on Nature and Biologically Inspired Computing (NaBIC), IEEE, October, Spain (pp. 44–49).
2. Araujo, F. F. B., Costa, A. M., & Miralles, C. (2012). Two extensions for the ALWABP: Parallel stations and collaborative approach. International Journal of Production Economics, 140(1), 483–495. doi:
10.1016/j.ijpe.2012.06.032
.
3. Bansal, J. C., Singh, P. K., Saraswat, M., Verma, A., Jadon, S. S. & Abraham, A. (2011). ‘Inertia weight strategies in particle swarm optimization. In Third World Congress on Nature and Biologically Inspired Computing (NaBIC), IEEE, October, Spain (pp. 633–640).
4. Baykasoğlu, A. (2006). Multi-rule multi-objective simulated annealing algorithm for straight and U type assembly line balancing problems. Journal of Intelligent Manufacturing, 17(2), 217–232. doi:
10.1007/s10845-005-6638-y
.
5. Blum, C., & Miralles, C. (2011). On solving the assembly line worker assignment and balancing problem via beam search. Computers and Operations Research, 38(1), 328–39. doi:
10.1016/j.cor.2010.05.008
.
Cited by
19 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