Genetic network programming with learning and evolution for adapting to dynamical environments

Shingo Mabu, Kotaro Hirasawa, Takayuki Furuzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

A new evolutionary algorithm named « genetic network programming, GNP» has been proposed. GNP represents its solutions as network structures, which can improve the expression and search ability. Since GA, GP, and GNP already proposed are based on evolution and they cannot change their solutions until one generation ends, we propose GNP with learning and evolution in order to adapt to a dynamical environment quickly. Learning algorithm improves search speed for solutions and evolutionary algorithm enables GNP to search wide solution space efficiently.

Original languageEnglish
Title of host publication2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings
PublisherIEEE Computer Society
Pages69-76
Number of pages8
Volume1
DOIs
Publication statusPublished - 2003
Event2003 Congress on Evolutionary Computation, CEC 2003 - Canberra, ACT
Duration: 2003 Dec 82003 Dec 12

Other

Other2003 Congress on Evolutionary Computation, CEC 2003
CityCanberra, ACT
Period03/12/803/12/12

Fingerprint

Network Programming
Genetic Network
Genetic Programming
Evolutionary Algorithms
Evolutionary algorithms
Network Structure
Learning Algorithm
Learning algorithms
Learning

ASJC Scopus subject areas

  • Computational Mathematics

Cite this

Mabu, S., Hirasawa, K., & Furuzuki, T. (2003). Genetic network programming with learning and evolution for adapting to dynamical environments. In 2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings (Vol. 1, pp. 69-76). [1299558] IEEE Computer Society. https://doi.org/10.1109/CEC.2003.1299558

Genetic network programming with learning and evolution for adapting to dynamical environments. / Mabu, Shingo; Hirasawa, Kotaro; Furuzuki, Takayuki.

2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings. Vol. 1 IEEE Computer Society, 2003. p. 69-76 1299558.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mabu, S, Hirasawa, K & Furuzuki, T 2003, Genetic network programming with learning and evolution for adapting to dynamical environments. in 2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings. vol. 1, 1299558, IEEE Computer Society, pp. 69-76, 2003 Congress on Evolutionary Computation, CEC 2003, Canberra, ACT, 03/12/8. https://doi.org/10.1109/CEC.2003.1299558
Mabu S, Hirasawa K, Furuzuki T. Genetic network programming with learning and evolution for adapting to dynamical environments. In 2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings. Vol. 1. IEEE Computer Society. 2003. p. 69-76. 1299558 https://doi.org/10.1109/CEC.2003.1299558
Mabu, Shingo ; Hirasawa, Kotaro ; Furuzuki, Takayuki. / Genetic network programming with learning and evolution for adapting to dynamical environments. 2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings. Vol. 1 IEEE Computer Society, 2003. pp. 69-76
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