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Hybrid genetic algorithm for the optimization of mine ventilation network 被引量:1
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作者 ZHAO Dan LIU Jian +1 位作者 PAN Jing-tao MA Heng 《Journal of Coal Science & Engineering(China)》 2009年第4期389-393,共5页
Used genetic algorithm (GA) to optimize the network of ventilation in order toavoid artificial convergence and speed up the convergence rate to introduce the Powellalgorithm. The Powell algorithm had been integrated i... Used genetic algorithm (GA) to optimize the network of ventilation in order toavoid artificial convergence and speed up the convergence rate to introduce the Powellalgorithm. The Powell algorithm had been integrated into GA. Powell had the effectivecapacity of solving the local optimal solution. Powell and the cross as a method ofchoice, a variation of the parallel operator, can be a better solution to the prematureconvergence of the GA problem. The two methods will be improved to make it an effective combination of hybrid GA called hybrid genetic algorithm (HGA) for the introductionof mine ventilation network optimization and to be used to solve the problem of regulating mine optimization. 展开更多
关键词 HYBRID genetic algorithm(GA) Powell algorithm ventilation net-work optimization
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