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Title: Particle swarm optimization analysis and its engineering application
Authors: Dai, Gaoyang
Department: Department of Electronic Engineering
Issue Date: 2007
Supervisor: Supervisor: Prof. Chow, Tommy W S.; Assessor: Dr. Yeung, L F
Abstract: As a new generation of artificial intelligence technology, Particle swarm optimization (PSO) is a population based stochastic optimization technique inspired by social behavior of bird flocking. Compared to Genetic Algorithms (GA), the advantages of PSO are that PSO is easy to implement and there are few parameters to adjust. Objectives of the project are to implement a comprehensive analysis on particle swarm optimization, and to find the most efficient and appropriate approach for its engineering application.
Appears in Collections:Electronic Engineering - Undergraduate Final Year Projects

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