Scheduling Exploration/Exploitation Levels in Genetically-Generated Fuzzy Knowledge

Sofiane Achiche; Luc Baron; Marek Balazinski

Scheduling Exploration/Exploitation Levels in Genetically-Generated Fuzzy Knowledge

Sofiane Achiche, Luc Baron, Marek Balazinski

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

In this paper we study the influence of the exploration/exploitation balance on the performances of a real binary/like genetic algorithm in automatically generating fuzzy knowledge bases from a set of numerical data. The influence is explored through different scheduling of crossover strategies throughout the evolution process. The aim of this paper is to prove the influence of a good balance between exploration and exploitation levels on the performances of the optimization algorithm used, along with the influence of a good definition of the early stages versus the late stages of the evolution.

Original language	English
Title of host publication	Annual Meeting of the North American Fuzzy Information Processing Society (IEEE)
Volume	1
Publication date	2004
Pages	401-406
Publication status	Published - 2004
Externally published	Yes
Event	2004 Annual Meeting of the North American Fuzzy Information Processing Society - Banff, Canada Duration: 27 Jun 2004 → 30 Jun 2004

Conference

Conference	2004 Annual Meeting of the North American Fuzzy Information Processing Society
Country	Canada
City	Banff
Period	27/06/2004 → 30/06/2004

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Cite this

@inproceedings{0ff84bde62c740e9b27c2b9b05530df4,

title = "Scheduling Exploration/Exploitation Levels in Genetically-Generated Fuzzy Knowledge",

abstract = "In this paper we study the influence of the exploration/exploitation balance on the performances of a real binary/like genetic algorithm in automatically generating fuzzy knowledge bases from a set of numerical data. The influence is explored through different scheduling of crossover strategies throughout the evolution process. The aim of this paper is to prove the influence of a good balance between exploration and exploitation levels on the performances of the optimization algorithm used, along with the influence of a good definition of the early stages versus the late stages of the evolution.",

author = "Sofiane Achiche and Luc Baron and Marek Balazinski",

year = "2004",

language = "English",

volume = "1",

pages = "401--406",

booktitle = "Annual Meeting of the North American Fuzzy Information Processing Society (IEEE)",

note = "2004 Annual Meeting of the North American Fuzzy Information Processing Society, IEEE/NAFIPS ; Conference date: 27-06-2004 Through 30-06-2004",

}

TY - GEN

T1 - Scheduling Exploration/Exploitation Levels in Genetically-Generated Fuzzy Knowledge

AU - Achiche, Sofiane

AU - Baron, Luc

AU - Balazinski, Marek

PY - 2004

Y1 - 2004

N2 - In this paper we study the influence of the exploration/exploitation balance on the performances of a real binary/like genetic algorithm in automatically generating fuzzy knowledge bases from a set of numerical data. The influence is explored through different scheduling of crossover strategies throughout the evolution process. The aim of this paper is to prove the influence of a good balance between exploration and exploitation levels on the performances of the optimization algorithm used, along with the influence of a good definition of the early stages versus the late stages of the evolution.

AB - In this paper we study the influence of the exploration/exploitation balance on the performances of a real binary/like genetic algorithm in automatically generating fuzzy knowledge bases from a set of numerical data. The influence is explored through different scheduling of crossover strategies throughout the evolution process. The aim of this paper is to prove the influence of a good balance between exploration and exploitation levels on the performances of the optimization algorithm used, along with the influence of a good definition of the early stages versus the late stages of the evolution.

M3 - Article in proceedings

VL - 1

SP - 401

EP - 406

BT - Annual Meeting of the North American Fuzzy Information Processing Society (IEEE)

T2 - 2004 Annual Meeting of the North American Fuzzy Information Processing Society

Y2 - 27 June 2004 through 30 June 2004

ER -