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Mechanical Component Design for Multiple Objectives Using Generalized Differential Evolution

机译:使用广义差分演化的多个目标机械部件设计

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In this paper an Evolutionary Algorithm, the Differential Evolution algorithm, and its extension for constrained multi-objective optimization are described. The described extension is tested with a set of four constrained multi-objective mechanical component design problems. Results are compared to results obtained with the elitist Non-Dominated Sorting Genetic Algorithm and the results show that the extension performs comparably to the elitist Non-Dominated Sorting Genetic Algorithm and is applicable for solving multi-objective mechanical component design problems subject to multiple constraints.
机译:在本文中,描述了一种进化算法,差分演化算法及其用于约束多目标优化的扩展。用一组四个约束的多目标机械分量设计问题测试所描述的扩展。将结果与用Elitist非主导分类遗传算法获得的结果进行比较,结果表明,延伸率相当于Elitist非主导的分类遗传算法执行,并且适用于求解经过多个约束的多目标机械组件设计问题。

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