Optimal scheduling of emergency resources for marine green tide disaster based on improved PSO algorithm

Dan Zhang; Jusuo Zhou

doi:10.1117/12.2668287

23 February 2023 Optimal scheduling of emergency resources for marine green tide disaster based on improved PSO algorithm

Dan Zhang, Jusuo Zhou

Author Affiliations +

Proceedings Volume 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022); 1255120 (2023) https://doi.org/10.1117/12.2668287
Event: Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 2022, Changchun, China

Abstract

The Yellow Sea Green Tide, which occurs repeatedly every year, has a significant impact on China's ecological environment and economy. At present, resource scheduling in the process of emergency response to green tide disasters depends more on disposal experience. In order to improve the reliability and efficiency of decision-making, we propose a resource scheduling model, which is used to optimize the allocation of resources. First, determine the main influencing factors, including the details of salvage objects and available resources. Next, with the maximum salvage efficiency as the goal, the resource scheduling model of marine green tide disaster is established. An improved particle swarm optimization (SAPSO) is used to solve the model. Finally, a test case is taken as an example for experimental verification. The results show that, compared with PSO algorithms, the resource scheduling scheme obtained by SAPSO algorithm is better. The model proposed in this paper can help decision-makers to make effective resource scheduling schemes.

Citation Download Citation

Dan Zhang and Jusuo Zhou "Optimal scheduling of emergency resources for marine green tide disaster based on improved PSO algorithm", Proc. SPIE 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 1255120 (23 February 2023); https://doi.org/10.1117/12.2668287

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