DocumentCode :
3147766
Title :
Research on algorithms for constrained optimization problems
Author :
Yao, Qing´an ; Xu, Zhongyu ; Dou, Quansheng
Author_Institution :
Coll. of Comput. Sci. & Eng., Changchun Univ. of Technol., Changchun, China
fYear :
2011
fDate :
16-18 April 2011
Firstpage :
5167
Lastpage :
5170
Abstract :
A Culture Heuristic Evolutionary Programming (CHEP) method is proposed in this paper. Method CHEP evolves both on the culture space and the population space. When this method is used to slove constrained optimization problems, the constraints are described as knowledge in belief space, and guide to search in population space. Test shows the validity and universality of method CHEP for solving constrained optimization problems.
Keywords :
evolutionary computation; CHEP method; constrained optimization; culture heuristic evolutionary programming method; culture space; population space; Cultural differences; Evolutionary computation; Heuristic algorithms; Hypercubes; Optimization; Programming; Radiation detectors; belief space; culture algorithms; evolutionary programming; population space;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
Type :
conf
DOI :
10.1109/CECNET.2011.5768212
Filename :
5768212
Link To Document :
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