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- W4384659249 endingPage "1891" @default.
- W4384659249 startingPage "1868" @default.
- W4384659249 abstract "Abstract In recent years, the sine cosine algorithm (SCA) has become one of the popular swarm intelligence algorithms due to its simple and convenient structure. However, the standard SCA tends to fall into the local optimum when solving complex multimodal tasks, leading to unsatisfactory results. Therefore, this study presents the SCA with communication and quality enhancement, called CCEQSCA. The proposed algorithm includes two enhancement strategies: the communication and collaboration strategy (CC) and the quality enhancement strategy (EQ). In the proposed algorithm, CC strengthens the connection of SCA populations by guiding the search agents closer to the range of optimal solutions. EQ improves the quality of candidate solutions to enhance the exploitation of the algorithm. Furthermore, EQ can explore potential candidate solutions in other scopes, thus strengthening the ability of the algorithm to prevent trapping in the local optimum. To verify the capability of CCEQSCA, 30 functions from the IEEE CEC2017 are analyzed. The proposed algorithm is compared with 5 advanced original algorithms and 10 advanced variants. The outcomes indicate that it is dominant over other comparison algorithms in global optimization tasks. The work in this paper is also utilized to tackle three typical engineering design problems with excellent optimization capabilities. It has been experimentally demonstrated that CCEQSCA works as an effective tool to tackle real issues with constraints and complex search space." @default.
- W4384659249 created "2023-07-20" @default.
- W4384659249 creator A5024138459 @default.
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- W4384659249 creator A5040226895 @default.
- W4384659249 creator A5046692971 @default.
- W4384659249 creator A5075952559 @default.
- W4384659249 date "2023-07-04" @default.
- W4384659249 modified "2023-10-16" @default.
- W4384659249 title "Sine cosine algorithm with communication and quality enhancement: Performance design for engineering problems" @default.
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