Stochastic Multiple Chaotic Local Search-Incorporated Gradient-Based Optimizer

In this study, a hybrid metaheuristic algorithm chaotic gradient-based optimizer (CGBO) is proposed. The gradient-based optimizer (GBO) is a novel metaheuristic inspired by Newton’s method which has two search strategies to ensure excellent performance. One is the gradient search rule (GSR), and the...

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Bibliographic Details
Main Authors: Hang Yu, Yu Zhang, Pengxing Cai, Junyan Yi, Sheng Li, Shi Wang
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2021/3353926
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