Title :
Genetic Network Programming with control nodes
Author :
Eto, Shinji ; Mabu, Shingo ; Hirasawa, Kotaro ; Huruzuki, Takayuki
Author_Institution :
Waseda Univ., Fukuoka
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 been also developed recently along with these trends. GNP has a directed graph structure and the search for obtaining optimal GNP becomes difficult when the scale of GNP is large. The aim of this paper is to find a well structured GNP considering Breadth and Depth of GNP searching. It has been shown that the proposed method is efficient compared with conventional GNPs from simulations using a garbage collector problem.
Keywords :
directed graphs; genetic algorithms; search problems; agent behavior sequence generation; control nodes; directed graph structure; evolutionary computation method; garbage collector problem; genetic network programming; Artificial intelligence; Control systems; Economic indicators; Evolutionary computation; Genetic algorithms; Genetic programming; Intelligent robots; Libraries; Parallel algorithms; Process control;
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
DOI :
10.1109/CEC.2007.4424582
