Labeled-GA with adaptive mutation rate

Pitoyo Hartono; Shuji Hashimoto; Mattias Wahde

Labeled-GA with adaptive mutation rate

Pitoyo Hartono, Shuji Hashimoto, Mattias Wahde

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

Abstract

In this paper we propose a modified GA that assigns a unique mutation rate to each gene based on the contribution of the respective gene's contribution to the fitness of the individual. Although the proposed model is not "parameter free", through a number of experiments, we show that the parameters for this model are significantly insensitive to the landscape of the problems compared with the mutation rate in conventional GA, implying that this model could deal effectively with a wide range of problems the requirement to set the mutation rate empirically.

Original language	English
Title of host publication	Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004
Pages	1851-1858
Number of pages	8
Volume	2
Publication status	Published - 2004
Event	Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004 - Portland, OR Duration: 2004 Jun 19 → 2004 Jun 23

Other

Other	Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004
City	Portland, OR
Period	04/6/19 → 04/6/23

ASJC Scopus subject areas

Engineering(all)

Cite this

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title = "Labeled-GA with adaptive mutation rate",

abstract = "In this paper we propose a modified GA that assigns a unique mutation rate to each gene based on the contribution of the respective gene's contribution to the fitness of the individual. Although the proposed model is not {"}parameter free{"}, through a number of experiments, we show that the parameters for this model are significantly insensitive to the landscape of the problems compared with the mutation rate in conventional GA, implying that this model could deal effectively with a wide range of problems the requirement to set the mutation rate empirically.",

author = "Pitoyo Hartono and Shuji Hashimoto and Mattias Wahde",

year = "2004",

language = "English",

isbn = "0780385152",

volume = "2",

pages = "1851--1858",

booktitle = "Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004",

note = "Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004 ; Conference date: 19-06-2004 Through 23-06-2004",

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T1 - Labeled-GA with adaptive mutation rate

AU - Hartono, Pitoyo

AU - Hashimoto, Shuji

AU - Wahde, Mattias

PY - 2004

Y1 - 2004

N2 - In this paper we propose a modified GA that assigns a unique mutation rate to each gene based on the contribution of the respective gene's contribution to the fitness of the individual. Although the proposed model is not "parameter free", through a number of experiments, we show that the parameters for this model are significantly insensitive to the landscape of the problems compared with the mutation rate in conventional GA, implying that this model could deal effectively with a wide range of problems the requirement to set the mutation rate empirically.

AB - In this paper we propose a modified GA that assigns a unique mutation rate to each gene based on the contribution of the respective gene's contribution to the fitness of the individual. Although the proposed model is not "parameter free", through a number of experiments, we show that the parameters for this model are significantly insensitive to the landscape of the problems compared with the mutation rate in conventional GA, implying that this model could deal effectively with a wide range of problems the requirement to set the mutation rate empirically.

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M3 - Conference contribution

AN - SCOPUS:4344631458

SN - 0780385152

SN - 9780780385153

VL - 2

SP - 1851

EP - 1858

BT - Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004

T2 - Proceedings of the 2004 Congress on Evolutionary Computation, CEC2004

Y2 - 19 June 2004 through 23 June 2004

ER -

Labeled-GA with adaptive mutation rate

Abstract

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ASJC Scopus subject areas

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