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Spatial Co-Evolution - Quicker, Fitter and Less Bloated

机译:空间协同进化-更快,更适合,更轻松

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Operator equalisation is a methodology inspired by the crossover bias theory that attempts to limit bloat in genetic programming (GP). This paper examines a bivariate regression problem and demonstrates that operator equalisation suffers from bloat like behaviour when attempting to solve this problem. This is in contrast to a spatial co-evolutionary mechanism (SCALP) that appears to avoid bloat, without any need for express bloat control mechanisms. A previously analysed real world problem (human oral bioavailability prediction) is examined. The behaviour of SCALP on this problem is quite different from that of standard GP and operator equalisation leading to short, general candidate solutions.
机译:运算符均衡是一种受交叉偏向理论启发的方法,该理论试图限制基因编程(GP)中的膨胀。本文研究了一个二元回归问题,并证明了在尝试解决此问题时,算符均衡会遭受类似膨胀的行为。这与空间协进化机制(SCALP)似乎可以避免膨胀,而无需明确的膨胀控制机制形成鲜明对比。检查以前分析的现实世界问题(人类口服生物利用度预测)。 SCALP在此问题上的行为与标准GP和运算符均衡的行为有很大不同,从而导致简短的通用候选解决方案。

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