4_Student Final Year Projects >
Electronic Engineering - Undergraduate Final Year Projects >
Please use this identifier to cite or link to this item:
|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
|Appears in Collections:||Electronic Engineering - Undergraduate Final Year Projects|
Items in CityU IR are protected by copyright, with all rights reserved, unless otherwise indicated.