DocumentCode
2552183
Title
A new dual scheme for genetic algorithm in dynamic environments
Author
Lili Liu ; Dingwei Wang ; Hongfeng Wang
Author_Institution
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
fYear
2008
fDate
2-4 July 2008
Firstpage
135
Lastpage
138
Abstract
Dynamic optimization problems are receiving increasing attention from evolutionary algorithm community due to their general occurrences in the real world inspired by the permutation in group theory, a permutation-based dual scheme is introduced into genetic algorithm in order to improve its capability of addressing dynamic order-coding problems. Furthermore, a learning strategy is also developed to tune up the effect of dual scheme. The experimental results over dynamic flow shop problems could indicate the efficiency of the new dual scheme for genetic algorithm in dynamic environments.
Keywords
dynamic programming; genetic algorithms; group theory; dynamic optimization; dynamic order-coding problems; evolutionary algorithm; genetic algorithm; group theory; permutation-based dual scheme; Dynamic Optimization Problems; Genetic Algorithm; Permutation-Based Dual Scheme;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-1733-9
Type
conf
DOI
10.1109/CCDC.2008.4597285
Filename
4597285
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