Research on Optimization Scheduling Problem in Complex Conditions
- Resource Type
- Article
- Authors
- Wang, Xue Lian; Xu, Man; Xiao, Jing; Guo, Ran
- Source
- Applied Mechanics and Materials; February 2014, Vol. 519 Issue: 1 p1518-1522, 5p
- Subject
- Language
- ISSN
- 16609336; 16627482
The paper presented an optimization scheduling problem in complex conditions. A genetic algorithm and tabu search hybrid algorithm (GATS) was designed to solve this problem. The algorithm used the global optimization capacity of genetic algorithm and the local hill climbing advantage of tabu search in the search process. The principium of the algorithm was introduced and a contrast experiment was carried out. The experiment and the analysis indicate the validity of the GATS to the optimization scheduling problem in complex conditions.