基于改进遗传算法的露天采矿优化

Optimization of Hypaethral Mining Based on Meliorative Genetic Algorithm

首先针对露天采矿优化问题的实际情况,建立了优化数学模型,并将原问题的约束条件转化为目标函数的组成部分,使之便于利用遗传算法求解.针对遗传算法的局限性,实施了最优保留策略,并改进了选择、交叉和变异操作,使该算法能够有效地提高收敛速度,避免早熟收敛.最后,通过实际算例说明,该优化方法有效、实用.

First establish optimal mathematical model according to the practical situation of hypaethral mining, and change the restrictive conditions of the original problem into components of the aim function, in order to expediently seek the solution of GA. Second, aiming at the restrictions of GA ,we adopt optimal saving tactic and improve on the operation of selection, crossover, and mutation. So that this arithmetic can increase constringency speed effectively, avoiding premature constringency. Proved by practical example of arithmetic, this method is practical and effective.