Site optimization study of emergency material centre based on improved particle swarm algorithm

Zhiqiong Dai

doi:10.1117/12.3005969

10 October 2023 Site optimization study of emergency material centre based on improved particle swarm algorithm

Zhiqiong Dai

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 1279930 (2023) https://doi.org/10.1117/12.3005969
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

In order to achieve the objectives of rationalizing the layout of emergency material centre sites and distributing emergency materials intelligently, this paper establishes an emergency material centre site selection model, and then designs and introduces an improved particle swarm algorithm to optimally solve the model. The algorithm improves the inertia weight of the algorithm to make it change adaptively according to the number of iterations of the algorithm. And in the learning factor part, an improved second-order oscillation method is proposed to further improve the global search capability of the algorithm. Finally, simulation experiments comparing the standard algorithm optimisation results show the rationality and validity of the siting model as well as the feasibility and efficiency of the designed algorithm.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhiqiong Dai "Site optimization study of emergency material centre based on improved particle swarm algorithm", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 1279930 (10 October 2023); https://doi.org/10.1117/12.3005969

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