Review on cat swarm optimization algorithms
作者： Pei-Wei Tsai , Vaci Istanda
DOI: 10.1109/CECNET.2013.6703394
关键词: Optimization algorithm 、 Optimization problem 、 Multi-swarm optimization 、 Engineering 、 Artificial intelligence 、 Swarm behaviour 、 Evolutionary computation 、 Metaheuristic 、 Swarm intelligence 、 Field (computer science)
摘要: Cat Swarm Optimization (CSO) is an evolutionary method inspired by the creatures in Mother Nature for solving optimization problems. Less than one decade after CSO proposed, it has been improved and applied different fields many researchers recent years. In this review, we majorly focus on original algorithm some branches of family algorithms. Some examples utilizing to solve problems engineering are also reviewed. first section, concept proposed given brief, Parallel (PCSO) described summarized a comprehensive way. Finally, solved algorithms The objective review provide overview brief introduction new swarm intelligence research field.
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