Title :
Improving genetic algorithm and its application on operation optimization of PS converter
Author :
Yan Feng ; Gui Weihua ; Chen Yong ; Xie Yongfang ; Ren Huifeng
Author_Institution :
Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
Abstract :
For the problem of adding cold charges operation in the PS Converter copper smelting, a kind of improving genetic algorithm is proposed. The GA was improved by population and individual dissimilarity degree and dissimilarity interval in order to enhanced global optimization and accelerate the convergence rate. The simulation results and production application demonstrate the effectiveness of the scheme which is beneficial to the operation optimization of PS Converter.
Keywords :
copper; genetic algorithms; power convertors; smelting; Cu; PS converter copper smelting; PS converter optimization; cold charge operation; convergence rate acceleration; dissimilarity degree; enhanced global optimization; genetic algorithm; Convergence; Educational institutions; Electronic mail; Genetic algorithms; Graphical user interfaces; Information science; Optimization; Dissimilarity Degree; Dissimilarity Interval; Genetic Algorithm; Operation Optimization; PS Converter;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3
