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Natural vs. Unnatural Decomposition in Cooperative Coevolution

机译:合作协同进化中的自然分解与非自然分解

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Problem decomposition is the first step to apply a cooperative coevolutionary algorithm (CCEA) to a problem. This step determines how to divide the problem into components with an appropriate granularity. Most of the current methods implement a natural-based decomposition where each component plays a specific role or represents an emergent property. However, there could exist some real problems that the roles or the properties are hard to determine or somewhat unclear. This paper offers a solution by decomposing the problems in an unnatural way, which implements a blind decomposition. Our primary analysis indicates that the blind decomposition is feasible. We also provide some basic advice on how to implement the blind decomposition in combination with different collaboration methods.
机译:问题分解是将协作式协同进化算法(CCEA)应用到问题的第一步。此步骤确定如何将问题划分为具有适当粒度的组件。当前的大多数方法都实现了基于自然的分解,其中每个组件都扮演着特定的角色或代表紧急属性。但是,可能存在一些实际问题,这些角色或属性很难确定或不清楚。本文通过以不自然的方式分解问题提供了一种解决方案,该解决方案实现了盲分解。我们的初步分析表明盲分解是可行的。我们还提供有关如何结合不同的协作方法实施盲分解的一些基本建议。

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