Using two improved particle swarm optimization variants for optimization of daily electrical power consumption in multi-chiller systems
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- 作者：Alireza Askarzadeha ; a.askarzadeh@kgut.ac.ir" class="auth_mail" title="E-mail the corresponding author ; askarzadeh_a@yahoo.com" class="auth_mail" title="E-mail the corresponding author ; Leandro dos Santos Coelhob
- 关键词：Daily multi-chiller systems optimization ; Particle swarm optimization ; Elitism ; Multi-agent
- 刊名：Applied Thermal Engineering
- 出版年：2015
- 出版时间：5 October 2015
- 年：2015
- 卷：89
- 期：Complete
- 页码：640-646
- 全文大小：745 K
文摘
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MA-PSO and EPSO increase the diversity of PSO algorithm.
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EPSO produces better results than PSO and MA-PSO algorithms.
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EPSO is an efficient tool for solving DOCL problem.