文章基本信息

标题：A hybrid bacterial foraging and modified particle swarm optimization for model order reduction
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作者：Hadeel N. Abdullah ; Hadeel N. Abdullah
期刊名称：International Journal of Electrical and Computer Engineering
电子版ISSN：2088-8708
出版年度：2019
卷号：9
期号：2
页码：1100-1109
DOI：10.11591/ijece.v9i2.pp1100-1109
出版社：Institute of Advanced Engineering and Science (IAES)
摘要：This paper study the model reduction procedures used for the reduction of large-scale dynamic models into a smaller one through some sort of differential and algebraic equations. A confirmed relevance between these two models exists, and it shows same characteristics under study. These reduction procedures are generally utilized for mitigating computational complexity, facilitating system analysis, and thence reducing time and costs. This paper comes out with a study showing the impact of the consolidation between the Bacterial-Foraging (BF) and Modified particle swarm optimization (MPSO) for the reduced order model (ROM). The proposed hybrid algorithm (BF-MPSO) is comprehensively compared with the BF and MPSO algorithms; a comparison is also made with selected existing techniques.
关键词：BF;BF-MPSO;ISE;Model order reduction;PSO
其他关键词：model order reduction;PSO;BF;ISE;BF-MPSO