Optimization of Sintering Blending Based on Adaptive Evolutionary Algorithm

A prediction model of sintering blending was established based on GRNN according to characteristics of diversity,complexity and relativity of sintering blending system,and a new optimal algorithm was proposed based on multi-group evolutionary algorithm with adaptive acceleration mechanism.The algorithm uses global search ability of multi-group evolutionary algorithm to achieve the optimization of process parameters under introduing adaptive acceleration mechanism and elastic scaling factor.The organic combination of GRNN and adaptive evolutionary algorithm is helpful to achieve proportion optimization of sintering blending and increase useful chemical composition in sintering blending,so as to improve product quality.The correctness of the optimization algorithm was verified with practical calculation results.