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首页> 外文期刊>Advances in Mechanical Engineering >Multi-objective optimization design of spur gear based on NSGA-II and decision making:
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Multi-objective optimization design of spur gear based on NSGA-II and decision making:

机译：基于NSGA-II的正齿轮多目标优化设计及决策：

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Optimization design of spur gear is a complicated work because the performance characteristics depend on different types of decision variables and objectives. Traditional single-objective optimization design of the spur gear always results in poor outcomes relative to other objectives due to objectives’ competition with each other. Therefore, this study works on the spur gear design based on the multi-objective optimization model of elitist non-dominated sorting genetic algorithm (NSGA-II). In the model, gear module, teeth number, and transmission ratio are decision variables, while center distance, bearing capacity coefficient, and meshing efficiency are objectives. Final optimal solutions are picked out from Pareto frontier calculated from NSGA-II using the decision makers of Shannon Entropy, linear programming technique for multidimensional analysis of preference (LINMAP), and technique of order preference by similarity to an ideal solution (TOPSIS). Meanwhile, a deviation index is used to evaluate the...
机译：正齿轮的优化设计是一项复杂的工作，因为其性能特征取决于不同类型的决策变量和目标。由于目标之间的竞争，正齿轮的传统单目标优化设计总是导致相对于其他目标的不良结果。因此，本研究基于精英非支配排序遗传算法（NSGA-II）的多目标优化模型进行正齿轮设计。在该模型中，齿轮模块，齿数和传动比是决策变量，而中心距，承载力系数和啮合效率是目标。使用Shannon Entropy的决策者，用于偏好偏好的多维分析的线性规划技术（LINMAP）和与理想解决方案相似的订单偏好技术（TOPSIS），从NSGA-II计算出的Pareto边界中选择最终的最优解。同时，偏差指数用于评估...

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