Two-Stage Reinforcement Learning-Based Differential Evolution for Solving Nonlinear Equations
Solving nonlinear equations (NEs) requires the algorithm to locate multiple roots of NEs in one run. In this article, a generic framework based on two-stage reinforcement learning (RL) and differential evolution (DE) is proposed to effectively deal with NEs problems. The major advantage of our appro...
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Veröffentlicht in: | IEEE transactions on systems, man, and cybernetics. Systems man, and cybernetics. Systems, 2023-07, Vol.53 (7), p.1-12 |
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Format: | Artikel |
Sprache: | eng |
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