TY - GEN
T1 - Genetic network programming with simplified genetic operators
AU - Li, Xianneng
AU - He, Wen
AU - Hirasawa, Kotaro
PY - 2013
Y1 - 2013
N2 - Recently, a novel type of evolutionary algorithms (EAs), called Genetic Network Programming (GNP), has been proposed. Inspired by the complex human brain structures, GNP develops a distinguished directed graph structure for its individual representations, consequently showing an excellent expressive ability for modelling a range of complex problems. This paper is dedicated to reveal GNP's unique features. Accordingly, simplified genetic operators are proposed to highlight such features of GNP, reduce its computational effort and provide better results. Experimental results are presented to confirm its effectiveness over original GNP and several state-of-the-art algorithms.
AB - Recently, a novel type of evolutionary algorithms (EAs), called Genetic Network Programming (GNP), has been proposed. Inspired by the complex human brain structures, GNP develops a distinguished directed graph structure for its individual representations, consequently showing an excellent expressive ability for modelling a range of complex problems. This paper is dedicated to reveal GNP's unique features. Accordingly, simplified genetic operators are proposed to highlight such features of GNP, reduce its computational effort and provide better results. Experimental results are presented to confirm its effectiveness over original GNP and several state-of-the-art algorithms.
KW - Directed graph
KW - Evolutionary algorithms
KW - Genetic network programming
KW - Invalid evolution
KW - Transition by necessity
UR - http://www.scopus.com/inward/record.url?scp=84893373783&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893373783&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-42042-9_7
DO - 10.1007/978-3-642-42042-9_7
M3 - Conference contribution
AN - SCOPUS:84893373783
SN - 9783642420412
VL - 8227 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 51
EP - 58
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 20th International Conference on Neural Information Processing, ICONIP 2013
Y2 - 3 November 2013 through 7 November 2013
ER -