Improved Cat Swarm Optimization approach applied to reliability-redundancy problem
نویسندگان
چکیده
System reliability-redundancy optimization plays a vital role in realworld applications. Recently, a new meta-heuristic based on swarm intelligence called cat swarm optimization (CSO) algorithm has emerged. CSO is a stochastic optimization paradigm inspired from the natural behavior of cats. To enhance the performance of the CSO algorithm, an improved adaptive CSO (ICSO) algorithm is presented. Both CSO and ICSO approaches were applied to an overspeed protection system for a gas turbine, a benchmark in the reliability-redundancy mixed-integer optimization field. Better results obtained by the ICSO show that the algorithm can be an efficient alternative for solving reliability problems.
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