A Self-guided Genetic Algorithm for permutation flowshop scheduling problems

Computers & Operations Research ◽

10.1016/j.cor.2011.08.016 ◽

2012 ◽

Vol 39 (7) ◽

pp. 1450-1457 ◽

Author(s):

Shih-Hsin Chen ◽

Pei-Chann Chang ◽

T.C.E. Cheng ◽

Qingfu Zhang

Keyword(s):

Genetic Algorithm ◽

Scheduling Problems ◽

Flowshop Scheduling ◽

Permutation Flowshop

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Hybrid genetic algorithm for permutation flowshop scheduling problems with total flowtime minimization

European Journal of Operational Research ◽

10.1016/j.ejor.2008.04.033 ◽

2009 ◽

Vol 196 (3) ◽

pp. 869-876 ◽

Author(s):

Yi Zhang ◽

Xiaoping Li ◽

Qian Wang

Keyword(s):

Genetic Algorithm ◽

Hybrid Genetic Algorithm ◽

Scheduling Problems ◽

Flowshop Scheduling ◽

Permutation Flowshop ◽

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Extended artificial chromosomes genetic algorithm for permutation flowshop scheduling problems

Computers & Industrial Engineering ◽

10.1016/j.cie.2011.11.002 ◽

2012 ◽

Vol 62 (2) ◽

pp. 536-545 ◽

Author(s):

Yuh-Min Chen ◽

Min-Chih Chen ◽

Pei-Chann Chang ◽

Shih-Hsin Chen

Keyword(s):

Genetic Algorithm ◽

Scheduling Problems ◽

Flowshop Scheduling ◽

Permutation Flowshop ◽

Artificial Chromosomes

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A Knowledge-based Genetic Algorithm for Permutation Flowshop Scheduling Problems with Multiple Factories

International Journal of Advancements in Computing Technology ◽

10.4156/ijact.vol4.issue7.13 ◽

2012 ◽

Vol 4 (7) ◽

pp. 121-129 ◽

Author(s):

Jian Gao ◽

Rong Chen ◽

Yaqing Liu

Keyword(s):

Genetic Algorithm ◽

Scheduling Problems ◽

Flowshop Scheduling ◽

Permutation Flowshop ◽

Knowledge Based

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A genetic algorithm with combined operators for permutation flowshop scheduling problems

2014 IEEE International Conference on Information and Automation (ICIA) ◽

10.1109/icinfa.2014.6932627 ◽

2014 ◽

Author(s):

Ligang Sheng ◽

Xingsheng Gu

Keyword(s):

Genetic Algorithm ◽

Scheduling Problems ◽

Flowshop Scheduling ◽

Permutation Flowshop

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New idle time-based tie-breaking rules in heuristics for the permutation flowshop scheduling problems

Computers & Operations Research ◽

10.1016/j.cor.2021.105348 ◽

2021 ◽

pp. 105348

Author(s):

A. Baskar ◽

M. Anthony Xavior

Keyword(s):

Idle Time ◽

Scheduling Problems ◽

Flowshop Scheduling ◽

Permutation Flowshop

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An improved genetic algorithm for robust permutation flowshop scheduling

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-010-3149-6 ◽

2011 ◽

Vol 56 (1-4) ◽

pp. 345-354 ◽

Author(s):

Qiong Liu ◽

Saif Ullah ◽

Chaoyong Zhang

Keyword(s):

Genetic Algorithm ◽

Flowshop Scheduling ◽

Improved Genetic Algorithm ◽

Permutation Flowshop

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Solving non-permutation flowshop scheduling problems by an effective iterated greedy heuristic

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-007-1104-y ◽

2007 ◽

Vol 38 (3-4) ◽

pp. 348-354 ◽

Author(s):

Kuo-Ching Ying

Keyword(s):

Greedy Heuristic ◽

Scheduling Problems ◽

Flowshop Scheduling ◽

Permutation Flowshop ◽

Iterated Greedy ◽

Iterated Greedy Heuristic

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A Fitness Landscape Analysis of Pareto Local Search on Bi-objective Permutation Flowshop Scheduling Problems

Lecture Notes in Computer Science - Evolutionary Multi-Criterion Optimization ◽

10.1007/978-3-319-54157-0_29 ◽

2017 ◽

pp. 422-437 ◽

Author(s):

Arnaud Liefooghe ◽

Bilel Derbel ◽

Sébastien Verel ◽

Hernán Aguirre ◽

Kiyoshi Tanaka

Keyword(s):

Local Search ◽

Fitness Landscape ◽

Landscape Analysis ◽

Scheduling Problems ◽

Flowshop Scheduling ◽

Permutation Flowshop ◽

Fitness Landscape Analysis ◽

Pareto Local Search

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A hybrid genetic algorithm for solving no-wait flowshop scheduling problems

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-010-3009-4 ◽

2010 ◽

Vol 54 (9-12) ◽

pp. 1129-1143 ◽

Author(s):

Bassem Jarboui ◽

Mansour Eddaly ◽

Patrick Siarry

Keyword(s):

Genetic Algorithm ◽

Hybrid Genetic Algorithm ◽

Scheduling Problems ◽

Flowshop Scheduling ◽

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A new multiobjective genetic algorithm with heterogeneous population for solving flowshop scheduling problems

International Journal of Computer Integrated Manufacturing ◽

10.1080/09511920601160288 ◽

2007 ◽

Vol 20 (5) ◽

pp. 465-477 ◽

Author(s):

Yandra ◽

Hiroyuki Tamura

Keyword(s):

Genetic Algorithm ◽

Heterogeneous Population ◽

Scheduling Problems ◽

Flowshop Scheduling ◽

Multiobjective Genetic Algorithm

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