Title :
Genetic Network Programing Considering the Evolution of Breadth and Depth
Author :
Eto, Shinji ; Mabu, Shingo ; Hirasawa, Kotaro ; Hu, Jingle
Author_Institution :
Graduate Sch. of Inf., Production & Syst., Waseda Univ., Tokyo
Abstract :
Many methods of generating behavior sequences of agents by evolution have been reported. A new evolutionary computation method named genetic network programming (GNP) has also been developed recently along with these trends. In this paper, a new method for evolving GNP considering breadth and depth is proposed. The performance of the proposed method is shown from simulations using garbage collector problem
Keywords :
genetic algorithms; evolutionary computation method; garbage collector problem; genetic network programming; Artificial intelligence; Computational modeling; Economic indicators; Electronic mail; Evolutionary computation; Genetic algorithms; Genetic programming; Intelligent robots; Parallel algorithms; Production systems; evolutionary computation; genetic network programming(GNP);
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
DOI :
10.1109/SICE.2006.315687
