DocumentCode :
2846733
Title :
Optimization Model of Complex Mining and Ore-Dressing Systems in Regional Mine and Its Application Based on Genetic Algorithm
Author :
Junzhi, Chen ; Chunfang, Ren ; Xiaoqian, Wang ; Haitao, Qiu
Author_Institution :
Fac. of Land Resource Eng., Kunming Univ. of Sci. & Technol., Kunming, China
Volume :
2
fYear :
2010
fDate :
13-14 Oct. 2010
Firstpage :
17
Lastpage :
20
Abstract :
The problems concerning multi-mineral source, multi-ore-dressing plant, multi-mineral of complex mining and ore-dressing systems in regional mine emerge gradually, with resources changes in new areas, such as an unreasonable overall layout of production, overlap and duplicated construction. From the perspective of complex systems theory, this article used the theories and methods of system science, computer science, mathematics, economics and so on, and also built the global optimization matching model. We study the global optimization of mining and ore-dressing systems of regional mine using Genetic Algorithm, that providing a theoretical basis for the realization of organic connection of complex systems in the region, overall best match and scientific and orderly exploitation of mineral resources etc. Thus, the level of development and utilization of mineral resources and economic benefits of regional mine have been increased.
Keywords :
genetic algorithms; large-scale systems; mineral processing industry; mining; complex systems; complex systems theory; genetic algorithm; global optimization matching model; multimineral source; multiore-dressing plant; regional mine; Biological system modeling; Economic indicators; Electricity; Genetic algorithms; Optimization; Production; Complex mining and ore-dressing systems; Comprehensive economic evaluation model; Genetic algorithm; Global optimization match; Systems Optimization; component;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-8333-4
Type :
conf
DOI :
10.1109/ISDEA.2010.158
Filename :
5743372
Link To Document :
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