DocumentCode :
2759524
Title :
Heuristic-Tabu-Genetic Algorithm Based Method for Flowshop Scheduling to Minimize Flowtime
Author :
Huang, Minmei ; Luo, Ronggui ; Yuan, Jijun
Author_Institution :
Sch. of Manage., Wuhan Univ. of Technol.
Volume :
2
fYear :
0
fDate :
0-0 0
Firstpage :
7220
Lastpage :
7224
Abstract :
In order to avoid premature convergence, a method based on heuristic-tabu-genetic algorithm was developed to solve the NP-complete problem of flowshop scheduling to minimize flowtime of jobs. Constructive heuristic and random methods were used to generate initial solutions, tabu search was carried out before PMX crossover and swapping mutation operations to obtain local optimal solutions for each chromosome in the population, and a population management strategy was designed to generate new population. The results of extensive computational experiments indicate that the heuristic-tabu-genetic algorithm is feasible, efficient and superior to the tabu search and constructive heuristic, and suggests that this proposed algorithm can also provide seed solutions for the problem of flowshop scheduling with flexible resources
Keywords :
flow shop scheduling; genetic algorithms; job shop scheduling; search problems; NP-complete problem; PMX crossover; computational experiment; constructive heuristic; flowshop scheduling; heuristic-tabu-genetic algorithm; job flowtime minimization; optimal solution; partially matched crossover; population management; random method; swapping mutation operation; tabu search; Educational institutions; Genetic algorithms; Genetic mutations; Heuristic algorithms; Job shop scheduling; NP-complete problem; Optimal scheduling; Processor scheduling; Scheduling algorithm; Technology management; Constructive heuristic; Flexible resources; Flowshop scheduling; Genetic algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1714487
Filename :
1714487
Link To Document :
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