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Evolutionary Operator Self-adaptation with Diverse Operators

机译:具有多种算子的进化算子自适应

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Operator adaptation in evolutionary computation has previously been applied to either small numbers of operators, or larger numbers of fairly similar ones. This paper focuses on adaptation in algorithms offering a diverse range of operators. We compare a number of previously-developed adaptation strategies, together with two that have been specifically designed for this situation. Probability Matching and Adaptive Pursuit methods performed reasonably well in this scenario, but a strategy combining aspects of both performed better. Multi-Arm Bandit techniques performed well when parameter settings were suitably tailored to the problem, but this tailoring was difficult, and performance was very brittle when the parameter settings were varied.
机译:进化计算中的算子自适应以前已应用于少量算子或大量相当相似的算子。本文着重于提供各种运算符的算法中的自适应。我们比较了许多先前开发的适应策略,以及针对这种情况专门设计的两种策略。在这种情况下,概率匹配和自适应追踪方法的表现相当不错,但是结合了这两个方面的策略效果更好。当针对该问题适当调整参数设置时,多臂强盗技术表现良好,但是这种调整很困难,并且当更改参数设置时性能非常脆弱。

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