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Spatial clustering method of constraint railway logistics dock integrated with particle swarm optimization strategy

A technology of particle swarm optimization and spatial clustering, which is applied in the space clustering of railway logistics stations with constraints and the spatial layout of railway port logistics parks, can solve the problems of no unified definition of logistics parks, and achieve reasonable site selection and good application value effect

Inactive Publication Date: 2012-12-26
ZHEJIANG GONGSHANG UNIVERSITY
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Problems solved by technology

At present, there is no uniform definition of logistics park in the world. Many scholars try to define logistics park and have done a lot of research work. For example, Meidute, Ieva, etc. use comparative analysis method to define and analyze logistics park.

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  • Spatial clustering method of constraint railway logistics dock integrated with particle swarm optimization strategy
  • Spatial clustering method of constraint railway logistics dock integrated with particle swarm optimization strategy
  • Spatial clustering method of constraint railway logistics dock integrated with particle swarm optimization strategy

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Embodiment Construction

[0029] The present invention will be described in further detail below in conjunction with the description of the drawings and specific embodiments.

[0030] The space clustering method of railway logistics stations with constraints integrated into particle swarm optimization thought proposed by the present invention comprises the following steps:

[0031]1) Data acquisition: Determine the data of various indicators in the logistics park, and arrange 11 variables in the 5 major index systems in the commonly used logistics park space (first-level indicators: the overall development level of the regional national economy, the conditions of regional social reproduction, the level of industrial and commercial development, transportation, etc. Supporting conditions, development level of foreign economic and trade; secondary indicators: overall regional economic level, regional per capita economic development level, potential scale of logistics customers in the industrial market, ind...

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Abstract

The invention comprises the technical fields of swarm intelligence and spatial data mining and particularly relates to a spatial clustering method of a constraint railway logistics dock integrated with a particle swarm optimization strategy. The spatial clustering method is particularly suitable for spatial layout of a logistics park at a railway port. With introduction of the particle swarm strategy, the method solves a problem that the local optimum is easily caused during K-Medoids clustering. The method comprises the following steps of: firstly, improving the K-Medoids algorithm without initializing a K value and determining the K value through a self-regulating method; secondly, solving a target function by using the improved particle swarm during the clustering iteration process, accelerating the convergence rate and finally obtaining an optimal clustering division. The spatial clustering method of the constraint railway logistics dock integrated with the particle swarm optimization strategy effectively overcomes the disadvantages of the traditional railway logistics deck layout method, is more rational in site selection and has good application value.

Description

technical field [0001] The invention includes knowledge in the technical fields of cluster intelligence and spatial data mining, and specifically relates to a method for clustering space of railway logistics stations with constraints integrated with the idea of ​​particle swarm optimization. It is especially suitable for the spatial layout of railway port logistics parks. technical background [0002] With China's accession to WTO, China's economy is in line with the world economy, and market competition is becoming increasingly fierce. On the one hand, the international, domestic and intra-regional material circulation continues to grow, calling for efficient modern integrated logistics services to support; on the other hand, tariff concessions and tariff barriers are no longer the main The role of other non-tariff barriers will be more prominent under the condition of non-tariff barriers. Among them, whether there is a well-developed modern logistics infrastructure and h...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06N3/00
Inventor 肖亮谢宏袁霄徐建伟许翀寰陈庭贵
Owner ZHEJIANG GONGSHANG UNIVERSITY
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