Abstract-Cat swarm optimization (CSO), a relatively new swarm intelligence algorithm, exhibits better performance on optimization problems than particle swarm optimization (PSO) and weighted-PSO. This paper presents a variation on the standard CSO algorithm called a vibrational mutation cat swarm optimization, or VMCSO in order to efficiently increase diversity of the swarm in the global searches. Comparing the new algorithm with CSO and several CSO main variants demonstrates the superiority of the VMCSO for the benchmark functions.
Yan Zhang and Yide Ma REF present a variation on the standard CSO algorithm called a vibration mutation cat swarm optimization, or VMCSO in order to efficiently increase diversity of the swarm in the global searches.
Cat Swarm Optimization with a Vibrational Mutation Strategy
International Journal of Machine Learning and Computing
Computer Science