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In CHPSO, there are four cooperative sub-swarms that can share information from each other but maintain differences. Various sub-swarms execute different search mechanisms for the potential solutions, and we find that the cooperation among the various sub-swarms is helpful for keeping a good balance between the exploration and exploitation in the search process, making the particles capable of converging to stable points.
Cite As
Ngaam (2026). Convergent Heterogenous Particle Swarm Optimization (https://www.mathworks.com/matlabcentral/fileexchange/46158-convergent-heterogenous-particle-swarm-optimization), MATLAB Central File Exchange. Retrieved .
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