首页> 外文会议>Genetic and Evolutionary Computation Conference Pt.1 Jul 12-16, 2003 Chicago, IL, USA >Focusing versus Intransitivity Geometrical Aspects of Co-evolution
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Focusing versus Intransitivity Geometrical Aspects of Co-evolution

机译:共同进化的聚焦与不及物性的几何方面

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Recently, a minimal domain dubbed the numbers game has been proposed to illustrate well-known issues in co-evolutionary dynamics. The domain permits controlled introduction of features like intran-sitivity, allowing researchers to understand failings of a co-evolutionary algorithm in terms of the domain. In this paper, we show theoretically that a large class of co-evolution problems closely resemble this minimal domain. In particular, all the problems in this class can be embedded into an ordered, n-dimensional Euclidean space, and so can be construed as greater-than games. Thus, conclusions derived using the numbers game are more widely applicable than might be presumed. In light of this observation, we present a simple algorithm aimed at remedying focusing problems and relativism in the numbers game. With it we show empirically that, contrary to expectations, focusing in transitive games can be more troublesome for co-evolutionary algorithms than intransitivity. Practitioners should therefore be just as wary of focusing issues in application domains.
机译:最近,有人提出了一个称为数字博弈的最小域,以说明共同进化动力学中的众所周知的问题。该域允许对诸如init-sitivity的功能进行受控引入,从而使研究人员可以从该域的角度理解协同进化算法的失败之处。在本文中,我们从理论上表明,一大类协同进化问题与该最小域非常相似。特别是,此类中的所有问题都可以嵌入到有序的n维欧几里德空间中,因此可以解释为大于游戏。因此,使用数字游戏得出的结论比可能的假设更广泛地适用。根据这一观察,我们提出了一种简单的算法,旨在解决数字游戏中的焦点问题和相对论。有了它,我们从经验上证明,与预期相反,对于和服进化算法而言,专注于传递游戏比传递性更麻烦。因此,从业人员应该同样注意将问题集中在应用程序领域。

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