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Application of Particle Group Optimization Algorithm Based on Environmental Policy in Environmental Management

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Computational and Experimental Simulations in Engineering (ICCES 2022)

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 119))

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Abstract

In the rapid development of social economy, the problems of resource and environmental management have been highlighted. In order to effectively shorten the development difference between urban and rural areas in China, the environmental management should be deeply discussed according to the current environmental policy using optimization algorithm. Therefore, on the basis of understanding the current development status of resources, environment and management, this paper makes an in-depth discussion on the application of particle swarm optimization algorithm and its improved PSO algorithm in environmental planning and management, and finally further optimizes the environmental management mode.

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Correspondence to Shuwei Lu .

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Lu, S. (2023). Application of Particle Group Optimization Algorithm Based on Environmental Policy in Environmental Management. In: Dai, H. (eds) Computational and Experimental Simulations in Engineering. ICCES 2022. Mechanisms and Machine Science, vol 119. Springer, Cham. https://doi.org/10.1007/978-3-031-02097-1_22

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  • DOI: https://doi.org/10.1007/978-3-031-02097-1_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-02096-4

  • Online ISBN: 978-3-031-02097-1

  • eBook Packages: EngineeringEngineering (R0)

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