Differential Evolution (DE) is one of the most popular metaheuristics. This is based on its performance and speed, and at the same time its easy description which allows direct modifications aimed at improving its performance. DE is based on the application of the scaled difference of a pair of population members to another population member, all of them distinct. Following this schema diverse variants have been proposed, progressively relaxing the constraints of the initial schema while improving the performance. In this work, new variants with a large number of scaled differences are proposed and evaluated against a large set of fitness functions, including shifted and rotated fitness functions. The proposed DE-variants demonstrate a high performance in the tests executed.

中文翻译：

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将更大比例的差异纳入差异演化的另一种观点

差异进化（DE）是最流行的元启发法之一。这是基于其性能和速度，同时基于其简单的描述，可对其进行直接修改以提高其性能。DE是基于将一对人口成员与另一个人口成员之间的差异按比例划分而得出的，它们都不同。在此方案之后，提出了各种变体，在提高性能的同时逐步放宽了初始方案的约束。在这项工作中，提出了具有大量比例差异的新变体，并针对大量适应性函数（包括移位和旋转适应性函数）进行了评估。建议的DE变量在执行的测试中表现出较高的性能。