Genetic algorithm integrated with artificial chromosomes for multi-objective flowshop scheduling problems

2008 ◽  
Vol 205 (2) ◽  
pp. 550-561 ◽  
Author(s):  
Pei-Chann Chang ◽  
Shih-Hsin Chen ◽  
Chin-Yuan Fan ◽  
Chien-Lung Chan
Keyword(s):  
Genetic Algorithm ◽  
Scheduling Problems ◽  
Flowshop Scheduling ◽  
Artificial Chromosomes ◽  
Multi Objective

scholarly journals A Proposed Genetic Algorithm Coding for Flow-Shop Scheduling Problems

2007 ◽  
Vol 2 (3) ◽  
pp. 229 ◽  
Author(s):  
Hela Boukef ◽  
Mohamed Benrejeb ◽  
Pierre Borne
Keyword(s):  
Genetic Algorithm ◽  
Flow Shop ◽  
Flow Shop Scheduling ◽  
Scheduling Problems ◽  
Multi Objective Optimization ◽  
Flowshop Scheduling ◽  
Food Industries ◽  
Shop Scheduling ◽  
Multi Objective

A new genetic algorithm coding is proposed in this paper to solve flowshop scheduling problems. To show the efficiency of the considered approach, two examples, in pharmaceutical and agro-food industries are considered with minimization of different costs related to each problem as a scope. Multi-objective optimization is thus, used and its performances proved.

A Self-guided Genetic Algorithm for permutation flowshop scheduling problems

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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