Online learning of genetic network programming (GNP)

Shingo Mabu; Kotaro Hirasawa; Jinglu Hu; Junichi Murata

doi:10.1109/CEC.2002.1006254

Online learning of genetic network programming (GNP)

Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Junichi Murata

Research output: Contribution to conference › Paper › peer-review

23 Citations (Scopus)

Abstract

A new evolutionary computation method called genetic network programming (GNP) was proposed recently. In this paper, an online learning method for GNP is proposed. This method uses Q learning to improve its state transition rules so that it can make GNP adapt to dynamic environments efficiently.

Original language	English
Pages	321-326
Number of pages	6
DOIs	https://doi.org/10.1109/CEC.2002.1006254
Publication status	Published - 2002 Jan 1
Externally published	Yes
Event	2002 Congress on Evolutionary Computation, CEC 2002 - Honolulu, HI, United States Duration: 2002 May 12 → 2002 May 17

Conference

Conference	2002 Congress on Evolutionary Computation, CEC 2002
Country/Territory	United States
City	Honolulu, HI
Period	02/5/12 → 02/5/17

ASJC Scopus subject areas

Software

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10.1109/CEC.2002.1006254

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title = "Online learning of genetic network programming (GNP)",

abstract = "A new evolutionary computation method called genetic network programming (GNP) was proposed recently. In this paper, an online learning method for GNP is proposed. This method uses Q learning to improve its state transition rules so that it can make GNP adapt to dynamic environments efficiently.",

author = "Shingo Mabu and Kotaro Hirasawa and Jinglu Hu and Junichi Murata",

year = "2002",

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doi = "10.1109/CEC.2002.1006254",

language = "English",

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AU - Mabu, Shingo

AU - Hirasawa, Kotaro

AU - Hu, Jinglu

AU - Murata, Junichi

PY - 2002/1/1

Y1 - 2002/1/1

N2 - A new evolutionary computation method called genetic network programming (GNP) was proposed recently. In this paper, an online learning method for GNP is proposed. This method uses Q learning to improve its state transition rules so that it can make GNP adapt to dynamic environments efficiently.

AB - A new evolutionary computation method called genetic network programming (GNP) was proposed recently. In this paper, an online learning method for GNP is proposed. This method uses Q learning to improve its state transition rules so that it can make GNP adapt to dynamic environments efficiently.

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DO - 10.1109/CEC.2002.1006254

M3 - Paper

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T2 - 2002 Congress on Evolutionary Computation, CEC 2002

Y2 - 12 May 2002 through 17 May 2002

ER -

Online learning of genetic network programming (GNP)

Abstract

Conference

ASJC Scopus subject areas

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