ali-ece/Intelligent-Optimization-Literature-Review-and-State-of-the-Art-Algorithms-1965-2022-
This work first provides a comprehensive overview of all considerations governing various optimization problems with detailed corresponding categories. Then, the most comprehensive review and recent methods (during 1965-2022) are presented in evolution-based, swarm-based, physics-based, human-based, and hybrid-based categories.
MATLAB
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