ABSTRACT In practice, engineering optimization problems come in various complexities that are different from the usual problem formulations used in a single academic study. To solve such unconventional description of problems, optimization experts must use different tools and tricks first to reformulate the problems as structured optimization problems and then to use an appropriate adaptation of existing optimization algorithms to solve them. In this article, a design optimization case study from the automobile industry is narrated, stating three different problem solving scenarios arising sequentially after each problem is solved. The article shows how each problem description can be formulated as a suitable optimization problem and how a suitable and existing optimization algorithm can be modified to find the respective solutions of interest to the engineer. The sequential reformulation of problems and their solutions not only allow engineers eventually to discover the final solutions of interest, the whole process is extremely rewarding to them in terms of knowledge gathered about alternative potential solutions of the problem. Although applied to a single automotive design problem in this article, the philosophy and methods described here are generic and should motivate both engineering optimization researchers and the industry to pursue more such studies.

中文翻译：

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为汽车行业实现明智的设计解决方案的非常规优化

摘要 在实践中，工程优化问题具有各种复杂性，不同于单个学术研究中使用的通常问题公式。为了解决这种非常规的问题描述，优化专家必须首先使用不同的工具和技巧将问题重新表述为结构化优化问题，然后使用现有优化算法的适当改编来解决它们。在本文中，讲述了一个来自汽车行业的设计优化案例研究，阐述了在解决每个问题后依次出现的三种不同的问题解决方案。本文展示了如何将每个问题描述表述为合适的优化问题，以及如何修改合适的现有优化算法以找到工程师感兴趣的相应解决方案。问题及其解决方案的顺序重新表述不仅使工程师最终能够发现感兴趣的最终解决方案，整个过程对他们收集有关问题的替代潜在解决方案的知识而言是非常有益的。尽管本文适用于单个汽车设计问题，但此处描述的理念和方法是通用的，应该激励工程优化研究人员和行业进行更多此类研究。问题及其解决方案的顺序重新表述不仅使工程师最终能够发现感兴趣的最终解决方案，整个过程对他们收集有关问题的替代潜在解决方案的知识而言是非常有益的。尽管本文适用于单个汽车设计问题，但此处描述的理念和方法是通用的，应该激励工程优化研究人员和行业进行更多此类研究。问题及其解决方案的顺序重新表述不仅使工程师最终能够发现感兴趣的最终解决方案，整个过程对他们收集有关问题的替代潜在解决方案的知识而言是非常有益的。尽管本文适用于单个汽车设计问题，但此处描述的理念和方法是通用的，应该激励工程优化研究人员和行业进行更多此类研究。