Compact Cat Swarm Optimization Algorithm

摘要

A compact cat swarm optimization algorithm (cCSO) was proposed in this paper. it keeps the same search logic of cat swarm optimization (CSO), i.e. tracing mode and seeking mode, on the other hands, cCSO inherits the main feature of compact optimization algorithms, a normal probabilistic vector is used to generate new individuals, the mean and the standard deviation of the probabilistic model could lead cats to the searching direction in next step. Only a cat is adopted in the algorithm, thus, it could run with modest memory requirement. Experimental results show that cCSO has better performance than some compact optimization algorithms in some benchmark functions test. The convergence rate is also a highlight among compact optimization algorithms.