This study introduces the Modified Rat Swarm Optimizer (MRSO), designed to improve the balance between exploration and exploitation in the Rat Swarm Optimizer (RSO). The MRSO's key innovations are aimed at enhancing search efficiency and robustness, making it particularly suitable for tackling complex optimization tasks, including real-world engineering problems. Extensive testing was conducted using classical benchmark functions and CEC 2019 test function. See (MRSO: Balancing Exploration and Exploitation through Modified Rat Swarm Optimization for Global Optimization) (https://doi.org/10.3390/a17090423 )
引用格式
Azad (2024). Modified Rat Swarm Optimization (MRSO) Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/172930-modified-rat-swarm-optimization-mrso-algorithm), MATLAB Central File Exchange. 检索来源 .
MRSO: Balancing Exploration and Exploitation through Modified Rat Swarm Optimization for Global Optimization https://doi.org/10.3390/a17090423
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