Integrated optimization algorithm: a metaheuristic approach for complicated optimization

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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Bibliographic Details
Main Authors: Li, Chen, Chen, Guo, Liang, Gaoqi, Luo, Fengji, Zhao, Junhua, Dong, Zhao Yang
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Electrical and electronic engineering
Non-Convex Optimization
Non-Differentiable Optimization
Online Access:https://hdl.handle.net/10356/163884

Internet

https://hdl.handle.net/10356/163884

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