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A fuzzy control system of the variable construction for the feeding coal in the jigging process
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作者 杜长龙 林明星 《Journal of Coal Science & Engineering(China)》 2002年第1期107-109,共3页
This paper analyzes the detection means of the feeding coal in the jigging process, and puts forward a fuzzy control system of the variable construction in order to control the feeding coal. The fuzzy control system c... This paper analyzes the detection means of the feeding coal in the jigging process, and puts forward a fuzzy control system of the variable construction in order to control the feeding coal. The fuzzy control system consists of three parts: bang-bang control, keep control and fuzzy control. 展开更多
关键词 fuzzy control variable construction feeding coal JIG
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Research on a Distribution Center Location Model Based on a Particle Swarm Optimization Algorithm 被引量:2
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作者 WANG Fei 1,2,HU Xin-bu3,JIA Tao41 School of Economy and Management,Chang’an University,Xi’an 710064,P.R.China 2 Institute of Human Geography,Xi’an International Studies University,Xi’an 710061,P.R.China +1 位作者 3 Architecture Engineering Department,Engineering College of Armed Police Forces,Xi’an 710086,P.R.China 4 School of Management,Xi’an Jiaotong University,Xi’an 710069,P.R.China 《International Journal of Plant Engineering and Management》 2009年第3期151-157,共7页
Logistics is supposed to be the important source of profits for the enterprises besides reducing material consumption and improving labor productivity. Transportation costs, distribution center construction costs, ord... Logistics is supposed to be the important source of profits for the enterprises besides reducing material consumption and improving labor productivity. Transportation costs, distribution center construction costs, ordering costs, safe inventory costs and inventory holding costs are the important parts of the total logistics costs. In this paper, based on the research results of LMRP( location model of risk pooling) location with fixed construction cost, the LMRPVCC ( location model of risk pooling based on variable construction cost) will be introduced. Applying particle swarm optimization to several computational instances, the authors find the suboptimum solution of the model. 展开更多
关键词 location-inventory particle swarm optimization algorithm variable cost of construction
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