Title :
Dynamical Evolution in Function Finding
Author :
Wu, Zhijian ; Jiang, Dazhi ; Wei, Ming ; Li, Yuanxiang
Author_Institution :
Wuhan Univ., Wuhan
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;
Conference_Titel :
Natural Computation, 2007. ICNC 2007. Third International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2875-5
DOI :
10.1109/ICNC.2007.343
