Particle swarm optimization algorithm based on biological symbiosis mechanism and adaptive inertial weight

Bin Wu; Baolei Wu

doi:10.1117/12.2653709

8 December 2022 Particle swarm optimization algorithm based on biological symbiosis mechanism and adaptive inertial weight

Bin Wu, Baolei Wu

Author Affiliations +

Proceedings Volume 12474, Second International Symposium on Computer Technology and Information Science (ISCTIS 2022); 124740G (2022) https://doi.org/10.1117/12.2653709
Event: Second International Symposium on Computer Technology and Information Science (ISCTIS 2022), 2022, Guilin, China

Abstract

On the basis of the standard particle swarm optimization and the bionic theory, the standard particle swarm optimization algorithm is improved based on the biological symbiosis mechanism, and the weight selection strategy and search space of the standard particle swarm are improved. The weighted particle swarm optimization algorithm (Particle swarm optimization based on biological symbiosis mechanism and self-adaptive inertia weight, PSO-BSMSIW) has been verified by the test function, and the algorithm has significantly improved the convergence speed and accuracy.

Citation Download Citation

Bin Wu and Baolei Wu "Particle swarm optimization algorithm based on biological symbiosis mechanism and adaptive inertial weight", Proc. SPIE 12474, Second International Symposium on Computer Technology and Information Science (ISCTIS 2022), 124740G (8 December 2022); https://doi.org/10.1117/12.2653709

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