Title :
Application of Genetic Algorithm to Optimize the Equipment of Coal Mine
Author :
Xinchun Li ; Xuefeng Song
Author_Institution :
Sch. of Manage., China Univ. of Min. & Technol., Xuzhou, China
Abstract :
Based on the optimization problem of the number and size in coal mine equipment the principle and procedure of genetic algorithm is introduced. The case of application proves that the genetic algorithm can better optimize the number and size of equipments in coal mine.
Keywords :
coal; genetic algorithms; mining equipment; coal mine; equipment optimisation; genetic algorithm; mine equipment; Application software; Computer simulation; Domestic safety; Expert systems; Genetic algorithms; Genetic engineering; Investments; Large-scale systems; Optimization methods; Technology management;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5362956
