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基于遗传算法的动力配煤方案的Boltzmann优化模型的研究
引用本文:周俊虎,沈彬彬,陈寅彪,程军,刘建忠,黄镇宇,岑可法.基于遗传算法的动力配煤方案的Boltzmann优化模型的研究[J].动力工程,2003,23(4):2598-2602.
作者姓名:周俊虎  沈彬彬  陈寅彪  程军  刘建忠  黄镇宇  岑可法
作者单位:1. 浙江大学,能源洁净利用与环境工程教育部重点实验室,浙江大学,杭州,310027
2. 北京国华电力有限责任公司,北京,100025
摘    要:用遗传算法(GA)进行优化配煤,可以在很短的时间内找到近似最优解,但是与全局最优解之间存在一定的差距。联系优化配煤的实际,通过分析GA的选择算子,应用Boltzmann选择法,在只增加少许运算时间的情况下,极大地缩短了近似最优解与全局最优解之间的差距,从而提升了GA在优化配煤中的运算性能。图10表2参5

关 键 词:配煤  优化配煤  遗传算法  GA  Boltamann选择法
文章编号:1000-6761(2003)04-2598-05

Research on Boltzmann Optimization Model for Coal Blend Based on Genetic Algorithm
ZHOU Jun hu ,SHEN Bin bin ,CHEN Yin biao ,CHEN Jun ,LIU Jian zhong ,HUANG Zhen yu ,CEN Ke fa.Research on Boltzmann Optimization Model for Coal Blend Based on Genetic Algorithm[J].Power Engineering,2003,23(4):2598-2602.
Authors:ZHOU Jun hu  SHEN Bin bin  CHEN Yin biao  CHEN Jun  LIU Jian zhong  HUANG Zhen yu  CEN Ke fa
Institution:ZHOU Jun hu 1,SHEN Bin bin 1,CHEN Yin biao 2,CHEN Jun 1,LIU Jian zhong 1,HUANG Zhen yu 1,CEN Ke fa 1
Abstract:An approximate best value of coal blend optimization can be found in a short time by using genetic algorithm (GA), but there is difference from the real best value to a certain degree. Based on the practical factors in coal blend optimization, this article analyses the selection method of GA, and proves that with the Boltzmann selection method, the difference between the approximate best value and the real best value is reduced greatly, while only a little more time is needed, so that the performance of GA used in coal blend optimization is improved. Figs 10, tables 2 and refs 5.
Keywords:coal blend  coal blend optimization  genetic algorithm  GA  Boltzmann selection method
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