Location Selection of Coal Bunker Based on Particle Swarm Optimization Algorithm

Qing-an Cui () and Jing-jing Shen ()
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Qing-an Cui: Zhengzhou University
Jing-jing Shen: Zhengzhou University

Chapter Chapter 119 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 1121-1128 from Springer

Abstract: Abstract Center location selection of coal bunker is an important and practical problem in coal mine production. Because of the complex relationship between influence variables and optimization goal, it is frequent to reach a local optimization point rather than the global one by using linear programming. This paper combines nonlinear programming model and the algorithm of particle swarm optimization (PSO) to optimize the location selection of coal bunker in the coal mine transportation system. Firstly the coal bunker’ center location selection problem is formalized and thereby the nonlinear programming model is constructed by minimizing the entire cost of the system. Secondly, the optimization model is solved by using the PSO algorithm and therefore the global optimization is reached. Finally the method mentioned above is verified by a typical coal bunker location selection example.

Keywords: Coal bunker; Location selection; Nonlinear programming; Particle swarm optimization (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38391-5_119

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DOI: 10.1007/978-3-642-38391-5_119

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