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Volume 7, Number 4, October 2022 , pages 297-319 DOI: https://doi.org/10.12989/acd.2022.7.4.297 |
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Soccer league optimization-based championship algorithm (SLOCA): A fast novel meta-heuristic technique for optimization problems |
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Mohammad R. Ghasemi, Mehdi Ghasri and Abdolhamid Salarnia
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| Abstract | ||
| Due to their natural and social revelation, also their ease and flexibility, human collective behavior and teamwork sports are inspired to introduce optimization algorithms to solve various engineering and scientific problems. Nowadays, meta-heuristic algorithms are becoming some striking methods for solving complex real-world problems. In that respect in the present study, the authors propose a novel meta-innovative algorithm based on soccer teamwork sport, suitable for optimization problems. The method may be referred to as the Soccer League Optimization-based Championship Algorithm, inspired by the Soccer league. This method consists of two main steps, including: 1. Qualifying competitions and 2. Main competitions. To evaluate the robustness of the proposed method, six different benchmark mathematical functions, and two engineering design problem was performed for optimization to assess its efficiency in achieving optimal solutions to various problems. The results show that the proposed algorithm may well explore better performance than some well-known algorithms in various aspects such as consistency through runs and a fast and steep convergence in all problems towards the global optimal fitness value. | ||
| Key Words | ||
| championship; GA; meta-heuristic; optimization algorithm; PSO; soccer league | ||
| Address | ||
| Mohammad R. Ghasemi, Mehdi Ghasri and Abdolhamid Salarnia: Department of Civil Engineering, University of Sistan and Baluchestan, Zahedan, Iran | ||
