Integrated optimization algorithm: a metaheuristic approach for complicated optimization

This paper proposes an integrated optimization algorithm (IOA) designed for solving complicated optimization problems that are non-convex, non-differentiable, non-continuous, or computationally intensive. IOA is synthesized from 5 sub-algorithms: follower search, leader search, wanderer search, cros...

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Main Authors: Li, Chen, Chen, Guo, Liang, Gaoqi, Luo, Fengji, Zhao, Junhua, Dong, Zhao Yang
其他作者: School of Electrical and Electronic Engineering
格式: Article
語言:English
出版: 2022
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在線閱讀:https://hdl.handle.net/10356/163884
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