首页> 外文会议>Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE >A natural and simple function which is hard for all evolutionaryalgorithms
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A natural and simple function which is hard for all evolutionaryalgorithms

机译:自然而简单的功能,对所有进化器来说都是很难的算法

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Evolutionary algorithms (EAs) are randomized search strategiesthat have turned out to be efficient for somewhat different optimizationproblems. In order to understand the behavior of EAs, one is alsointerested in examples where EAs need exponential time to find anoptimal solution. Until now only artificial examples of this kind wereknown. An example with a clear and simple structure is presented. It canbe described by a short formula, it is a polynomial of degree 3, and itis an instance of a well-known problem, the theoretically andpractically important MAXSAT problem
机译:进化算法(EA)是随机搜索策略 事实证明,这种效率对于某些不同的优化是有效的 问题。为了了解EA的行为, 感兴趣的示例中EA需要指数时间来找到 最佳解决方案。到目前为止,只有这类的人工例子 众所周知。给出了一个结构清晰简单的示例。它可以 用一个简短的公式描述它是一个3阶的多项式 是一个众所周知的问题的实例,从理论上讲 实际重要的MAXSAT问题

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