Genetic network programming with simplified genetic operators

Xianneng Li; Wen He; Kotaro Hirasawa

doi:10.1007/978-3-642-42042-9_7

Genetic network programming with simplified genetic operators

Xianneng Li, Wen He, Kotaro Hirasawa

Information, Production and Systems Research Center

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	51-58
Number of pages	8
Volume	8227 LNCS
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-42042-9_7
Publication status	Published - 2013
Event	20th International Conference on Neural Information Processing, ICONIP 2013 - Daegu, Korea, Republic of Duration: 2013 Nov 3 → 2013 Nov 7

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	8227 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	20th International Conference on Neural Information Processing, ICONIP 2013
Country/Territory	Korea, Republic of
City	Daegu
Period	13/11/3 → 13/11/7

Keywords

Directed graph
Evolutionary algorithms
Genetic network programming
Invalid evolution
Transition by necessity

ASJC Scopus subject areas

Computer Science(all)
Theoretical Computer Science

Access to Document

10.1007/978-3-642-42042-9_7

Cite this

Li, X., He, W., & Hirasawa, K. (2013). Genetic network programming with simplified genetic operators. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 8227 LNCS, pp. 51-58). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8227 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-42042-9_7

Genetic network programming with simplified genetic operators. / Li, Xianneng; He, Wen; Hirasawa, Kotaro.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8227 LNCS PART 2. ed. 2013. p. 51-58 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8227 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Li, X, He, W & Hirasawa, K 2013, Genetic network programming with simplified genetic operators. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 8227 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 8227 LNCS, pp. 51-58, 20th International Conference on Neural Information Processing, ICONIP 2013, Daegu, Korea, Republic of, 13/11/3. https://doi.org/10.1007/978-3-642-42042-9_7

Li X, He W, Hirasawa K. Genetic network programming with simplified genetic operators. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 8227 LNCS. 2013. p. 51-58. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-42042-9_7

Li, Xianneng ; He, Wen ; Hirasawa, Kotaro. / Genetic network programming with simplified genetic operators. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8227 LNCS PART 2. ed. 2013. pp. 51-58 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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Genetic network programming with simplified genetic operators

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Keywords

ASJC Scopus subject areas

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