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: | , , , , , |
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格式: | Article |
語言: | English |
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2022
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在線閱讀: | https://hdl.handle.net/10356/163884 |
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