Particle Swarm Optimization for Numerical Function Optimization

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DC Field	Value	Language
dc.contributor.author	Kwan, Him Pok	en_US
dc.date.accessioned	2011-09-15T01:51:38Z
dc.date.accessioned	2017-09-19T09:12:09Z
dc.date.accessioned	2019-02-12T07:29:40Z	-
dc.date.available	2011-09-15T01:51:38Z
dc.date.available	2017-09-19T09:12:09Z
dc.date.available	2019-02-12T07:29:40Z	-
dc.date.issued	2011	en_US
dc.identifier.other	2011eekhp842	en_US
dc.identifier.uri	http://144.214.8.231/handle/2031/6359	-
dc.description.abstract	The original form of particle swarm optimization (PSO) algorithm proposed by Kennedy, Eberhart and Shi has inherited the stagnation problem. The objective of this project is to investigate on improving the performance of PSO. In this project, several variants were proposed to address the problem and then tested on a set of benchmarks against some of the well-known variants found in literature. Experimental results revealed that the proposed variants have much better performance in terms of convergence.	en_US
dc.rights	This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.	en_US
dc.rights	Access is restricted to CityU users.	en_US
dc.title	Particle Swarm Optimization for Numerical Function Optimization	en_US
dc.contributor.department	Department of Electronic Engineering	en_US
dc.description.supervisor	Supervisor: Dr. Wu, Angus K M; Assessor: Dr. Lee, Joshua E Y	en_US
Appears in Collections:	Electrical Engineering - Undergraduate Final Year Projects

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