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Wave energy converter array optimization using adaptive evolutionary algorithm with experience-guided Single-Player Monte Carlo tree search | Synapse
March 3, 2026
Wave energy converter array optimization using adaptive evolutionary algorithm with experience-guided Single-Player Monte Carlo tree search
DW
Dengshuai Wang
YL
Yanjun Liu
DA
Dongxu An
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Key Points
Optimization enhances wave energy converter array performance, improving energy extraction.
Key metrics show a notable efficiency increase with adaptive evolutionary algorithms in simulations.
Evaluation uses adaptive evolutionary algorithms combined with Monte Carlo tree search for robust results.
Implications suggest efficient renewable energy solutions, although further validation in real-world settings is needed.
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Cite This Study
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Wang et al. (Tue,) studied this question.
synapsesocial.com/papers/69a761ccc6e9836116a2fde0
https://doi.org/https://doi.org/10.1016/j.oceaneng.2026.124668