loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Author: Ghodrat Moghadampour

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

ISBN: 978-989-8425-05-8

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.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.206.13.39

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Moghadampour G. and (2010). MALE AND FEMALE CHROMOSOMES IN GENETIC ALGORITHMS.In Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8425-05-8, 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 2: ICEIS,},
year={2010},
pages={220-225},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002897702200225},
isbn={978-989-8425-05-8},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - MALE AND FEMALE CHROMOSOMES IN GENETIC ALGORITHMS
SN - 978-989-8425-05-8
AU - Moghadampour, G.
PY - 2010
SP - 220
EP - 225
DO - 10.5220/0002897702200225

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.