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- W4381887816 abstract "In this paper, a metaheuristic algorithm called PID-based search algorithm (PSA) is proposed for global optimization. The algorithm is based on an incremental PID algorithm that converges the entire population to an optimal state by continuously adjusting the system deviations. PSA is mathematically modeled and implemented to achieve optimization in a wide range of search spaces. PSA is used to solve CEC2017 benchmark test functions and six constrained problems. The optimization performance of PSA is verified by comparing it with seven metaheuristics proposed in recent years. The Kruskal-Wallis, Holm and Friedman tests verified the superiority of PSA in terms of statistical significance. The results show that PSA can be better balanced exploration and exploitation with strong optimization capability." @default.
- W4381887816 created "2023-06-25" @default.
- W4381887816 creator A5017414060 @default.
- W4381887816 date "2023-12-01" @default.
- W4381887816 modified "2023-10-02" @default.
- W4381887816 title "PID-based search algorithm: A novel metaheuristic algorithm based on PID algorithm" @default.
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- W4381887816 doi "https://doi.org/10.1016/j.eswa.2023.120886" @default.
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