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The copyright of a submitted article is only transferred to the publishers if and when the article is accepted for publication. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, electrostatic, mechanical, photocopying, recording or otherwise without the prior written permission of the publishers.
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Function optimization over integral domain: Comparative performance of elite genetic algorithm for small iterariions and small generation size
Abstract
In this paper we present a version of the Genetic Algorithm (GA), which we call XSGA to find integral suboptimal global solution of one variable multimodal functions. XSGA makes use of local search and restarts. Our proposed XSGA works better than the elite Genetic Algorithm for small generation size and small number of iterations. Both versions of the GA work well for larger generation size and larger number of iterations.
Journal of Science and Technology(Ghana) Vol. 27 (1) 2007: pp. 61-74
