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Shuffled Shepherd Optimization Method Simplified for Reducing the Parameter Dependency
Shuffled shepherd optimization algorithm (SSOA) is a newly developed multi-community algorithm inspired by shepherd behavior. Since the SSOA is a parameter-dependent method, the optimum performance requires using the right parameters for each problem. In this chapter, SSOA is modified to become less reliant on parameter adjustment.
Shuffled Shepherd Optimization Method Simplified for Reducing the Parameter Dependency
Shuffled shepherd optimization algorithm (SSOA) is a newly developed multi-community algorithm inspired by shepherd behavior. Since the SSOA is a parameter-dependent method, the optimum performance requires using the right parameters for each problem. In this chapter, SSOA is modified to become less reliant on parameter adjustment.
Shuffled Shepherd Optimization Method Simplified for Reducing the Parameter Dependency
Studies in Systems, Decision and Control
Kaveh, Ali (Autor:in) / Zaerreza, Ataollah (Autor:in)
Structural Optimization Using Shuffled Shepherd Meta-Heuristic Algorithm ; Kapitel: 3 ; 53-76
25.02.2023
24 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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