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• W4293820817 abstract "Gamed-based is a new stochastic metaheuristics optimization category that is inspired by traditional or digital game genres. Unlike SI-based algorithms, individuals do not work together with the goal of defeating other individuals and winning the game. Battle royale optimizer (BRO) is a Gamed-based metaheuristic optimization algorithm that has been recently proposed for the task of continuous problems. This paper proposes a modified BRO (M-BRO) in order to improve balance between exploration and exploitation. For this matter, an additional movement operator has been used in the movement strategy. Moreover, no extra parameters are required for the proposed approach. Furthermore, the complexity of this modified algorithm is the same as the original one. Experiments are performed on a set of 19 (unimodal and multimodal) benchmark functions (CEC 2010). The proposed method has been compared with the original BRO alongside six well-known/recently proposed optimization algorithms. The results show that BRO with additional movement operator performs well to solve complex numerical optimization problems compared to the original BRO and other competitors." @default.
• W4293820817 created "2022-08-31" @default.
• W4293820817 creator A5080130223 @default.
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• W4293820817 date "2022-01-01" @default.
• W4293820817 modified "2023-09-25" @default.
• W4293820817 title "Battle Royale Optimizer with a New Movement Strategy" @default.
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• W4293820817 doi "https://doi.org/10.1007/978-3-031-07512-4_10" @default.
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