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A modified directed search domain algorithm for multiobjective engineering and design optimization

机译:用于多目标工程和设计优化的改进的定向搜索域算法

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摘要

Multiobjective optimization is one of the key challenges in engineering design process. Since the answer to such problem is not unique, a set of evenly distributed solutions is particularly important for a designer. The Directed Search Domain (DSD) method is a numerical optimization approach that has proven to be efficient enough to tackle such optimization problems. In this paper, we propose two modifications to the DSD approach which make the solution algorithm simpler for program implementation. These modifications are related to the control of the search domain and reformulation of the appropriate single objective optimization problem. As a result, the computational efficiency of the method is increased due to the lower number of objective function evaluations. The capabilities of the new approach are demonstrated on a set of test cases.
机译:多目标优化是工程设计过程中的关键挑战之一。由于对此类问题的答案不是唯一的,因此一组均匀分布的解决方案对设计人员尤为重要。定向搜索域(DSD)方法是一种数值优化方法,已被证明足以解决此类优化问题。在本文中,我们对DSD方法提出了两种修改,使解决方案算法更易于实现程序。这些修改与搜索域的控制和适当的单目标优化问题的重新制定有关。结果,由于较少的目标函数评估数量,该方法的计算效率得以提高。在一组测试用例上演示了新方法的功能。

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