A major effort in the practice of evolutionary computation goes into deciding how to represent individuals in the evolving population. This task is actually composed of two subtasks: defining a data structure that is the representation and defining the encoding that enables to interpret the representation. In this paper we employ a coevolutionary algorithm—dubbed OMNIREP—to discover both a representation and an encoding that solve a particular problem of interest. We describe four experiments that provide a proof-of-concept of OMNIREP’s essential merit. We think that the proposed methodology holds potential as a problem solver and also as an exploratory medium when scouting for good representations.

中文翻译：

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OMNIREP：通过共同发展编码和表示来产生含义

进化计算实践中的主要努力在于确定如何表示不断发展的群体中的个体。该任务实际上由两个子任务组成：定义表示形式的数据结构和定义能够解释表示形式的编码。在本文中，我们采用了协同进化算法配成OMNIREP，发现两者的表示和解决所关注的具体问题的编码。我们描述了四个提供OMNIREP本质优点概念验证的实验。我们认为，所提出的方法学在寻找良好表示形式时，具有作为解决问题者的潜力以及作为探索性媒介的潜力。