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Author: Ghodrat Moghadampour

Affiliation: VAMK, University of Applied Sciences, Technology and Communication, Finland

Keyword(s): Evolutionary algorithm, Genetic algorithm, Distributional genetic algorithm, Function optimization, Male and female chromosomes, Adaptive operators.

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

Abstract: Evolutionary algorithms work on randomly generated populations, which are converged over runs toward the desired optima. Randomly generated populations are of different qualities based on their average fitness values. In many cases switching all bits of a randomly generated binary individual to their opposite values might quickly produce a better individual. This technique increases diversity among individuals in the population and allows exploring the search space in a more rigorous way. In this research the effect of such operation during the initialization of the population and crossover operator has been investigated. Experimentation with 44 test problems in 2200 runs showed that this technique can facilitate producing better individuals on average in around 32% of cases.

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Paper citation in several formats:
Moghadampour, G. (2010). MALE AND FEMALE CHROMOSOMES IN GENETIC ALGORITHMS. In Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 5: ICEIS; ISBN 978-989-8425-05-8; ISSN 2184-4992, SciTePress, pages 220-225. DOI: 10.5220/0002897702200225

@conference{iceis10,
author={Ghodrat Moghadampour.},
title={MALE AND FEMALE CHROMOSOMES IN GENETIC ALGORITHMS},
booktitle={Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 5: ICEIS},
year={2010},
pages={220-225},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002897702200225},
isbn={978-989-8425-05-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 5: ICEIS
TI - MALE AND FEMALE CHROMOSOMES IN GENETIC ALGORITHMS
SN - 978-989-8425-05-8
IS - 2184-4992
AU - Moghadampour, G.
PY - 2010
SP - 220
EP - 225
DO - 10.5220/0002897702200225
PB - SciTePress