Dynamic Requisition-Compensation Balance Theory of Mining-under Village Relocation Planning Based on PSO Algorithm

Ya Kai Chen; Dong Wen Liu; Zhi Yong Qiao; Ting Ting Wang; Shu Jiang

doi:10.4028/www.scientific.net/AMM.587-589.128

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 587-589Dynamic Requisition-Compensation Balance Theory of...

Dynamic Requisition-Compensation Balance Theory of Mining-under Village Relocation Planning Based on PSO Algorithm

Abstract:

This study has improved traditional ‘requisition first compensation later’ theory and ‘compensation first requisition later’ theory, and proposed dynamic requisition-compensation balance theory. Mathematical model of mining-under village relocation is established, and the particle swarm optimization (PSO) algorithm is used to optimize the stage relocation planning of dynamic requisition-compensation balance theory. The result shows that, this new theory can effectively solve land using problems such as land requisition difficulty and land compensation difficulty, reduce the human-land conflict, ensure execute relocation smoothly, promote reclamation project implementation, and can guarantee a certain amount of arable land surplus; The PSO algorithm can maximize both the surplus land area and the per capita building land area of farmer with high accuracy.

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Periodical:

Applied Mechanics and Materials (Volumes 587-589)

Pages:

128-131

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.587-589.128

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Online since:

July 2014

Authors:

Ya Kai Chen*, Dong Wen Liu, Zhi Yong Qiao, Ting Ting Wang, Shu Jiang

Keywords:

Mining-Under Village, PSO, Relocation Planning, Requisition-Compensation Balance Theory

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* - Corresponding Author

References

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