Enhancing Particle Swarm Optimization Using Regulators Based on Location and Fitness Deviation

博士 === 國立成功大學 === 資訊管理研究所 === 104 === In spite of the varying position and fitness of each distinct particle, most of the PSO algorithms treat the given swarm of particles simply. This study aims to find good controls for facilitating exploration and exploitation movements to enhance the traditional...

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Bibliographic Details
Main Authors: Che-TsungYang, 楊哲綜
Other Authors: Hei-Chia Wang
Format: Others
Language:en_US
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/50893787782623821565

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