DocumentCode
1601717
Title
Dynamical Evolution in Function Finding
Author
Wu, Zhijian ; Jiang, Dazhi ; Wei, Ming ; Li, Yuanxiang
Author_Institution
Wuhan Univ., Wuhan
Volume
5
fYear
2007
Firstpage
614
Lastpage
618
Abstract
As a branch of evolutionary computation (EC), genetic programming (GP) and genetic expression programming (GEP) have been applied widely in auto-programming. Inspired by the statistical mechanism, a new selection operator based on statistical mechanics is proposed, an algorithm - dynamical evolutionary programming (DEP) algorithm is constructed by applying this new selection operator. The experimental results show that DEP is better than GEP in terms of the quality of average fitness.
Keywords
genetic algorithms; statistical analysis; autoprogramming; dynamical evolutionary programming algorithm; evolutionary computation; function finding; genetic expression programming; genetic programming; selection operator; statistical mechanics; statistical mechanism; Ant colony optimization; Biological cells; Diversity reception; Dynamic programming; Evolution (biology); Evolutionary computation; Functional programming; Gene expression; Genetic programming; Particle swarm optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2875-5
Type
conf
DOI
10.1109/ICNC.2007.343
Filename
4344913
Link To Document