An RL-guided genetic algorithm that adapts its evolutionary operators during the run reaches comparable or better wind farm layouts with about three times fewer generations than a fixed-parameter GA.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NE 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Reinforcement learning-enhanced genetic algorithm for wind farm layout optimization
An RL-guided genetic algorithm that adapts its evolutionary operators during the run reaches comparable or better wind farm layouts with about three times fewer generations than a fixed-parameter GA.