DocumentCode
3529797
Title
A hybrid genetic algorithm based on dynamic coding of bargain model in inserting order
Author
Zhang, Xin-min ; Han, Ying ; Zhao, Xing-yuan
Author_Institution
Sch. of Mech. Eng., Shenyang Univ. of Technol., Shenyang, China
Volume
Part 3
fYear
2011
fDate
3-5 Sept. 2011
Firstpage
1821
Lastpage
1824
Abstract
In this paper, a new method to solve the hybrid genetic algorithm based on dynamic coding by bargain model in inserting order is proposed. A new coding method for the inserting order is presented also. Corresponding crossover and mutation operators are given. These operators can easily keep the feasibility of solution. They can also satisfy the stochastic demand of genetic algorithm. Finally, an example for a workshop inserting order is given. The results show the effectiveness of the algorithm.
Keywords
genetic algorithms; order processing; stochastic processes; bargain model; dynamic coding; hybrid genetic algorithm; inserting order; stochastic demand; Educational institutions; Encoding; Game theory; Genetic algorithms; Heuristic algorithms; Production; Schedules; Bargain; dynamic coding; hybrid genetic algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-61284-446-6
Type
conf
DOI
10.1109/ICIEEM.2011.6035519
Filename
6035519
Link To Document