Conservation of Information in Coevolutionary Searches

W. Ewert, R. Marks
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引用次数: 1

Abstract

A number of papers show that the No Free Lunch theorem does not apply to coevolutionary search. This has been interpreted as meaning that, unlike classical full query searches, coevolutionary searches do not require extensive a priori knowledge about the domain. Alternately, coevolutionary searches can be viewed as providing incomplete information about fitness and differ from standard evolutionary searches where queries provide full fitness information. Knowing the full value of a fitness is better than knowing partial subjacent fitness information. Consequently, coevolution can be viewed as a degradation of search performance in this sense. We demonstrate this in a number of examples drawn from free lunch proofs in the literature. This observation does not diminish the power or utility of the coevolutionary search. Coevolutionary subjacent queries are often required due to the unavailability or expense of a full query. Nevertheless, coevolution does not allow an escape from the necessity of exploiting prior information in search processes and remains bounded by conservation of information in general and the No Free Lunch theorem in particular.
协同进化搜索中的信息守恒
许多论文表明,没有免费午餐定理不适用于共同进化搜索。这被解释为,与经典的全查询搜索不同,协同进化搜索不需要关于该领域的广泛先验知识。或者,协同进化搜索可以被视为提供关于适应度的不完整信息,并且不同于查询提供完整适应度信息的标准进化搜索。知道适应度的全部值比知道局部的下适应度信息要好。因此,从这个意义上讲,协同进化可以被视为搜索性能的退化。我们从文献中的免费午餐校样中举例说明了这一点。这一观察并没有削弱共同进化搜索的力量或效用。由于完整查询的不可用性或开销,通常需要协同进化的子查询。然而,共同进化并不能逃脱在搜索过程中利用先验信息的必要性,并且仍然受到一般信息守恒,特别是无免费午餐定理的限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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