Many-objective problems, characterized by a high-dimensional objective space, are a source of challenge for standard methods of multi-objective optimization. An evolutionary algorithm based on the concept of least-conflict solutions is here presented; the shape design of a IPM motor is considered as the case study. In particular, optimization problems dealing with 3 and 4 objective functions have been solved, respectively.

中文翻译：

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一种解决多目标优化问题的非差分方法：在IPM电机设计中的应用

以高维目标空间为特征的多目标问题是标准的多目标优化方法面临的挑战。本文提出了一种基于最小冲突解决方案概念的进化算法。IPM电机的形状设计被视为案例研究。尤其是分别解决了3个和4个目标函数的优化问题。