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Controlling the cooperative-competitive boundary in niched genetic algorithms

机译:生态位算法中合作竞争边界的控制

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Niching can allow a diverse population to cooperatively represent a single, distributed solution to the problem at hand. Successful niching mechanisms must promote both cooperation (i.e., co-existence of separate "species" for each desired niche), and competition (i.e., intensive search for the best species for each niche). In this paper we seek to control the competitive-cooperative boundary in the space of possible niche relationships, so that we can choose which pairs of interacting niches will survive under GA selection and which niche pairs will be resolved to yield a single winner. We introduce the concept of resource replenishment period, tau , as a control on the relative importance of objective fitness over diversity pressure. We find that by varying tau between zero and one, we can smoothly transition between pure selection and full niching.
机译:努力可以允许各种各样的人口合作地代表手头的问题的单一,分布式解决方案。成功的征地机制必须促进合作(即,每个所需利基的单独的“物种的共存)和竞争(即,密集寻求每个Niche的最佳物种)。在本文中,我们寻求控制可能的利基关系的空间中的竞争合作边界,因此我们可以选择在GA选择下生存的相互作用的互动性,并且将解决哪一对成对,以产生单个获胜者。我们介绍了资源补充期,TAU的概念,作为对客观健康对多样性压力相对重要性的控制。我们发现,通过零和一个之间的Tau,我们可以平稳地过渡纯粹的选择和完整的努力。

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