基于Pareto遗传算法和TRIZ理论的数控加工参数优化
Optimization of CNC Machining Parameter Based on Pareto Genetic Algorithm and TRIZ Theory
摘要: 针对数控加工参数优化问题，提出了一种基于Pareto遗传算法和TRIZ理论相结合的优化方法。首先建立以加工效率、刀具耐用度和加工成本为优化目标的多目标优化模型，采用Pareto遗传算法得到加工参数Pareto最优解集；其次，基于TRIZ发明问题解决理论，从最优解集中分析技术矛盾并建立矛盾矩阵表，根据问题解决原理进行最优解的决策，确定最优加工参数，最后，通过凸轮加工实验验证该方法的可行性和正确性。根据TRIZ理论对Pareto解集进行最优解决策，避免基于经验和偏好选择的弊端，实现合理寻优和理性决策的良好组合。
Abstract: Based on the CNC machine parameter optimization, an algorithm was proposed of Pareto genetic algorithm and TRIZ theory. First, a multi-objective optimization model was built of cutting efficiency, tool life and processing cost as the optimization objectives, and the Pareto optimal solutions were generated based on the Pareto genetic algorithm. Second, based on TRIZ theory, technical contradiction was analyzed on the Pareto optimal solutions and contradiction matrix was built, and the optimal solution was decided based on technical problem-solving principles; at last, this algorithm was proved feasible and effective by experiments results. This method effectively avoids the drawbacks of experience and preference, and the good combination of reasonable optimization and rational decision was achieved.
文章引用：刘恒丽, 刘宝顺, 王勇, 董靖川. 基于Pareto遗传算法和TRIZ理论的数控加工参数优化[J]. 机械工程与技术, 2018, 7(6): 419-428. https://doi.org/10.12677/MET.2018.76051

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