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Evaluating the performance of meta-heuristic algorithms on CEC 2021 benchmark problems [PDF]
Neural Computing and Applications, 2022 To develop new meta-heuristic algorithms and evaluate on the benchmark functions is the most challenging task. In this paper, performance of the various developed meta-heuristic algorithms are evaluated on the recently developed CEC 2021 benchmark ...
Ali Wagdy Mohamed +2 more
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MEALPY: An open-source library for latest meta-heuristic algorithms in Python
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A comprehensive survey on meta-heuristic algorithms for parameter extraction of photovoltaic models
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A survey on population-based meta-heuristic algorithms for motion planning of aircraft
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Meta-heuristic algorithms to truss optimization: Literature mapping and application
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Meta-heuristic Algorithms in UAV Path Planning Optimization: A Systematic Review (2018–2022)
Drones, 2023Ray Yueh-Min Huang, Maral Hooshyar
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