遗传算法在工程爆破参数优化中的应用
Application of Genetic Algorithm in the Optimization of Parameters in Engineering Blasting
工程爆破中的参数优化问题是个复杂的非线性规划问题。以矿山爆破参数优化数学模型为例，采用遗传算法实现了爆破参数的优化。结果证实了利用遗传算法进行爆破参数优化的可行性与高效性，为求解该问题提供了一个有效的新途径。
The optimization of blasting parameters in engineering blasting is a complicated nonlinear programming problem. Based on the mathematical model of blasting optimization in open pit mine, the optimization problem is solved with genetic algorithm in this paper, and the feasibility and high effectiveness of optimizing blasting parameters with genetic algorithm are proved by the results. It has provided a new effective approach for solving this problem.
工程爆破 / 采矿 / 优化 / 数学模型 / 非线性规划 / 遗传算法
engineering blasting / mining / optimization / mathematical model / nonlinear programming / genetic algorithm
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