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The Application of Improved Genetic Algorithm in Raw Mix Slurry Optimal Arrangement of Alumina Process

YANG Xu-kun,YANG Chun-hua,WANG Ya-lin,GUI Wei-hua(School of Information Science & Engineering,Central South University,Changsha 410083,China)  
In the alumina process with sintering,the slurry comes out from the grind with low quality because of lots of uncertainty factors and the delay of composition analysis,the qualified raw mix slurry is commonly gained through arranging.In this paper,an optimal model for arrangement is designed,which is with multi-objective function and nonlinear constraints,and an improved genetic algorithm with penalty strategy is proposed to solve the optimization problem.The industrial application shows that the optimal arrangement scheme can be obtained efficiently by applying the proposed algorithm.
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