Solving Nonlinear Equations Systems with an Enhanced Reinforcement Learning Based Differential Evolution

Solving Nonlinear Equations Systems with an Enhanced Reinforcement Learning Based Differential Evolution

Nonlinear equations systems (NESs) arise in a wide range of domains. Solving NESs requires the algorithm to locate multiple roots simultaneously. To deal with NESs efficiently, this study presents an enhanced reinforcement learning based differential evolution with the following major characteristic...

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Bibliographic Details
Main Authors: Zuowen Liao, Shuijia Li
Format: Article
Language:English
Published: Tsinghua University Press 2022-03-01
Series:Complex System Modeling and Simulation
Subjects:
nonlinear equations systems
reinforcement learning
differential evolution
multiple roots location
Online Access:https://www.sciopen.com/article/10.23919/CSMS.2022.0003

Internet

https://www.sciopen.com/article/10.23919/CSMS.2022.0003

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