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Using a New Strategy in Imperialist Competitive Algorithm to Solve Multi‑objective Problems (WSICA) | ||
Journal of Algorithms and Computation | ||
دوره 55، شماره 1، شهریور 2023، صفحه 141-183 اصل مقاله (5.4 M) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22059/jac.2023.93158 | ||
نویسندگان | ||
Mina Moosapour* 1؛ Ahmad Bagheri1؛ Mohammad Javad Mahmoodabadi2 | ||
1Department of Mechanical Engineering, Guilan University, Rasht, Iran | ||
2Department of Mechanical Engineering, Sirjan University of Technology, Sirjan, Iran | ||
چکیده | ||
The imperialist competitive algorithm (ICA) is developed based on the socio-political process of imperialist competitions. It is an efficient approach for single-objective optimization problems. However, this algorithm fails to optimize multi-objective problems (MPOs) with conflicting objectives. This paper presents a modification of the ICA to different multi-objective problems. To improve the algorithm performance and adapt to the characteristics of MOPs, the Sigma method was used to establish the initial empires, the weighted sum approach (WSum) was employed for empire competition, and an adaptive elimination approach was used for external archiving strategy. the results indicated that the suggested algorithm had a higher performance compared to other algorithms based on diversity and convergence characteristics. | ||
کلیدواژهها | ||
Imperialist competitive algorithm؛ multi-objective optimization؛ Sigma method؛ meta-heuristics؛ weighted sum approach | ||
آمار تعداد مشاهده مقاله: 195 تعداد دریافت فایل اصل مقاله: 238 |