Comparison of the Efficiency of Metaheuristic Algorithms on Some Specific Functions with Adaptation of Fuzzy Parameters
Journal Title: System Engineering and Productivity - Year 2022, Vol 2, Issue 1
Abstract
In this study, the performance of metaheuristic algorithms (PSO4 and ICA5) on some specific functions has been compared by adapting fuzzy parameters. These fuzzy algorithms, by considering each of these test functions as an objective or fitness function, do their job, which is to reach the global minimum of each of these test functions. Considering the uncertainty in this study, a more realistic modeling of the problem was created so that the solutions generated from this model have greater ability to be implemented. In this study, we have improved the convergence speed to the global minimum of each of these functions and used two methods, PSO and ICA with fuzzy parameters, which, in addition to reducing the computational time and increasing the convergence speed, a comparison was also made between the performance of fuzzy PSO and fuzzy ICA. We concluded that the fuzzy ICA algorithm has a faster convergence speed than the fuzzy PSO algorithm.
Authors and Affiliations
Eghbali, H. Asghari Kenarsari, S.
Keywords
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- EP ID EP768155
- DOI 10.22034/sep.2025.243405
- Views 9
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