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Random heuristic search: applications to GAs and functions of unltatlon

机译:随机启发式搜索:GA和unltatlon功能的应用

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摘要

Describing a wide range of search methods at various levels of detail, the theory of random heuristic search speaks of their qualitative and quantitative aspects. This paper begins by outlining the theory, reviewing some of the more basic principles and results, and then goes on to illustrate its application by presenting both fine-grained and coarse-grained models for a genetic algorithm applied to functions of unitation. Particular emphasis is given to the interrelationships between the models.
机译:随机启发式搜索理论描述了各种不同级别的搜索方法,从质和量两方面进行了阐述。本文首先概述了该理论,回顾了一些更基本的原理和结果,然后通过介绍适用于联合功能的遗传算法的细粒度和粗粒度模型,来说明其应用。特别强调模型之间的相互关系。

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