文章基本信息

标题：Application of PSO Artificial Bee Colony and Bacterial Foraging Optimization algorithms to economic load dispatch-An analysis
作者：Anant Baijal Vikram Singh Chauhan T Jayabarathi
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2011
卷号：8
期号：4
出版社：IJCSI Press
摘要：This paper illustrates successful implementation of three evolutionary algorithms, namely- Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC) and Bacterial Foraging Optimization (BFO) algorithms to economic load dispatch problem (ELD). Power output of each generating unit and optimum fuel cost obtained using all three algorithms have been compared. The results obtained show that ABC and BFO algorithms converge to optimal fuel cost with reduced computational time when compared to PSO for the two example problems considered.
关键词：ABC; PSO; BFO; Economic Load dispatch; Evolutionary Algorithms