El-Sherbiny, Mahmoud M. (2009) A Modified Algorithm for Particle Swarm Optimization with Constriction Coefficient. IJCI. International Journal of Computers and Information, 2 (1). pp. 17-29. ISSN 1687-7853
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Abstract
This paper introduces a modified algorithm to partical swarm based optimization that significantly reduces the number of iterations required to reach good solutions and discusses the results of experimentally comparing its performance with the performance of several variants of the standard particle swarm optimizer. The variants of the modified algorithm and the most common variants of the particle swarm optimizers are tested using a set of multimodal functions commonly used as benchmark optimization problems in evolutionary computation. Results indicate that the algorithm is highly competitive and can be considered as aviable alternative to solve the optimization problems.
Item Type: | Article |
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Subjects: | Open Research Librarians > Computer Science |
Depositing User: | Unnamed user with email support@open.researchlibrarians.com |
Date Deposited: | 13 Oct 2023 04:26 |
Last Modified: | 13 Oct 2023 04:26 |
URI: | http://stm.e4journal.com/id/eprint/1460 |