Reuse oriented group maintenance scheduling based on Hybrid Genetic Algorithm and Tabu Search

Author(s):  
Jihong Yan ◽  
Dingguo Hua ◽  
Zimo Wang
2003 ◽  
Vol 490 (1-2) ◽  
pp. 211-222 ◽  
Author(s):  
J.A. Hageman ◽  
R. Wehrens ◽  
H.A. van Sprang ◽  
L.M.C. Buydens

2012 ◽  
Vol 590 ◽  
pp. 557-562 ◽  
Author(s):  
Ying Jie Huang ◽  
Xi Fan Yao ◽  
Dong Yuan Ge ◽  
Yong Xiang Li

By combining Genetic algorithm with Tabu search algorithm and adjusting crossover rate and mutation rate based on information entropy, a hybrid genetic algorithm was proposed for larger-scale job shop scheduling problems, and the benchmark instances were used to verify the algorithm with simulation. Simulation results show that the proposed algorithm can solve larger-scale job shop scheduling problems, and it has obvious advantages over traditional scheduling algorithms.


1997 ◽  
Vol 30 (25) ◽  
pp. 65-70
Author(s):  
Safaai Deris ◽  
Sigeru Omatu ◽  
Hiroshi Ohta ◽  
Shaharudin Kutar ◽  
Pathiah Abd Samat

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