An iterated local search for the multi-objective permutation flowshop scheduling problem with sequence-dependent setup times
Author:
Funder
National Natural Science Foundation of China
Ministry of Science Technology
Publisher
Elsevier BV
Subject
Software
Reference35 articles.
1. A genetic local search algorithm for minimizing total flowtime in the permutation flowshop scheduling problem;Tseng;Int. J. Prod. Econ.,2010
2. Makespan minimization for m-machine permutation flowshop scheduling problem with learning considerations;Chung;Int. J. Adv. Manuf. Technol.,2011
3. Extended artificial chromosomes genetic algorithm for permutation flowshop scheduling problems;Chen;Comput. Ind. Eng.,2012
4. Bi-criteria minimization for the permutation flowshop scheduling problem with machine-based learning effects;Chung;Comput. Ind. Eng.,2012
5. A discrete particle swarm optimization algorithm with self-adaptive diversity control for the permutation flowshop problem with blocking;Wang;Appl. Soft Comput.,2012
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