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针对铝用炭阳极系统非线性、多变量、连续特性与离散事件等组合优化问题,研究对炭阳极工艺过程应用混合逻辑动态MLD(Mixed Logical Dynamical)建模与优化的方法,利用遗传算法(GA)并行计算优势进行优化,解决了MLD建模过程中产生的混合整数二次规划问题,从而提高了优化速度,缩短了优化时间。仿真结果表明,基于该算法的炭阳极质量系统建模和寻优可以优化阳极质量,满足炭阳极国际质量指标,生产的炭阳极具有较高体积密度、高抗折强度和低渗透性。
Aiming at combinatorial optimization problems of carbon anode system such as nonlinearity, multivariable, continuous characteristics and discrete events, a hybrid logic dynamic MLD (MLC) modeling and optimization method for carbon anode process was studied. Genetic algorithm (GA ) Parallel computing advantages to solve the problem of mixed integer quadratic programming in MLD modeling process, which improves the optimization speed and shortens the optimization time. The simulation results show that the system based on this algorithm can optimize anode quality and meet the international quality standards of carbon anode. The carbon anode produced has high bulk density, high flexural strength and low permeability.