文件名称:sinteringburdenthethreeoptimizationmethods
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本文通过运用线性规划法、蒙特卡洛法和遗传算法对相同的烧结配料问题进行
优化,并对得到的结果进行了分析,从最终结果、求解效率、易用性等方面比较了3种方法的
优劣,最后得出结论:遗传算法更适应今后烧结配料优化的计算要求。
-In this paper, through the use of linear programming, Monte Carlo method and genetic algorithm to the problem the same ingredients to optimize the sintering, and the results were analyzed, from the final results, to solve the efficiency of areas such as ease of use compared three kinds of methods advantages and disadvantages, and finally come to the conclusion: a genetic algorithm to adapt to the future optimization of the calculation of sintering requested ingredients.
优化,并对得到的结果进行了分析,从最终结果、求解效率、易用性等方面比较了3种方法的
优劣,最后得出结论:遗传算法更适应今后烧结配料优化的计算要求。
-In this paper, through the use of linear programming, Monte Carlo method and genetic algorithm to the problem the same ingredients to optimize the sintering, and the results were analyzed, from the final results, to solve the efficiency of areas such as ease of use compared three kinds of methods advantages and disadvantages, and finally come to the conclusion: a genetic algorithm to adapt to the future optimization of the calculation of sintering requested ingredients.
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三种优化烧结配料方法的比较.caj