Although SSO is a basic metaheuristic optimization
method and does not have any adaptation mechanism or
auxiliary operator, usually added to basic metaheuristic
methods to enhance their search ability and convergence
behavior, such as adaptive PSO (APSO) [32], modified PSO
[33], improved PSO [34], and enhanced PSO [35] obtained
from basic PSO algorithm, it will be shown that SSO has high
performance compared to many other metaheuristic optimization
methods. The results obtained for different test cases
are presented in the next subsections, respectively.
Although SSO is a basic metaheuristic optimizationmethod and does not have any adaptation mechanism orauxiliary operator, usually added to basic metaheuristicmethods to enhance their search ability and convergencebehavior, such as adaptive PSO (APSO) [32], modified PSO[33], improved PSO [34], and enhanced PSO [35] obtainedfrom basic PSO algorithm, it will be shown that SSO has highperformance compared to many other metaheuristic optimizationmethods. The results obtained for different test casesare presented in the next subsections, respectively.
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