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Author: Ghodrat Moghadampour

Affiliation: Vaasa University of Applied Sciences, Finland

ISBN: 978-989-8425-54-6

ISSN: 2184-4992

Keyword(s): Evolutionary algorithm, Genetic algorithm, Function optimization, Mutation operator, Self-adaptive mutation operators, Integer mutation operator, Decimal mutation operator, Fitness evaluation and analysis.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Evolutionary Programming

Abstract: Evolutionary algorithms are affected by more parameters than optimization methods typically. This is at the same time a source of their robustness as well as a source of frustration in designing them. Adaptation can be used not only for finding solutions to a given problem, but also for tuning genetic algorithms to the particular problem. Adaptation can be applied to problems as well as to evolutionary processes. In the first case adaptation modifies some components of genetic algorithms to provide an appropriate form of the algorithm, which meets the nature of the given problem. These components could be any of representation, crossover, mutation and selection. In the second case, adaptation suggests a way to tune the parameters of the changing configuration of genetic algorithms while solving the problem. In this paper two new self-adaptive mutation operators; integer and decimal mutation are proposed for implementing efficient mutation in the evolutionary process of genetic algorit hm for function optimization. Experimentation with 27 test cases and 1350 runs proved the efficiency of these operators in solving optimization problems. (More)

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Paper citation in several formats:
Moghadampour, G. (2011). SELF-ADAPTIVE INTEGER AND DECIMAL MUTATION OPERATORS FOR GENETIC ALGORITHMS.In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8425-54-6, ISSN 2184-4992, pages 184-191. DOI: 10.5220/0003494401840191

@conference{iceis11,
author={Moghadampour, G.},
title={SELF-ADAPTIVE INTEGER AND DECIMAL MUTATION OPERATORS FOR GENETIC ALGORITHMS},
booktitle={Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2011},
pages={184-191},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003494401840191},
isbn={978-989-8425-54-6},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - SELF-ADAPTIVE INTEGER AND DECIMAL MUTATION OPERATORS FOR GENETIC ALGORITHMS
SN - 978-989-8425-54-6
AU - Moghadampour, G.
PY - 2011
SP - 184
EP - 191
DO - 10.5220/0003494401840191

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