Cultural algorithms: concepts and experiments

B. Franklin, M. Bergerman
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引用次数: 37

Abstract

Evolutionary computation is a generic name given to the resolution of computational problems that are planned and implemented based on models of the evolutionary process. Most of the evolutionary algorithms that have been proposed follow biological paradigms and the concepts of natural selection, mutation and reproduction. There are, however, other paradigms which may be adopted in the creation of evolutionary algorithms. Several problems involving unstructured environments may be addressed from the point of view of cultural paradigms, which offer plenty of categories of models where one does not know all possible solutions to a problem - a very common situation in real life. This work applies the computational properties of cultural technology to the solution of a specific problem, adapted from the robotics literature. A test environment denoted the "Cultural Algorithms Simulator" was developed to allow anyone to learn more about the rather unconventional characteristics of a cultural technology.
文化算法:概念和实验
进化计算是对基于进化过程模型规划和实现的计算问题的解决的总称。大多数已经提出的进化算法都遵循生物范式和自然选择、突变和繁殖的概念。然而,在创建进化算法时,可能会采用其他范例。一些涉及非结构化环境的问题可以从文化范式的角度来解决,文化范式提供了大量的模型类别,其中人们不知道问题的所有可能解决方案-这是现实生活中非常常见的情况。这项工作将文化技术的计算特性应用于解决特定问题,改编自机器人文献。开发了一个名为“文化算法模拟器”的测试环境,以允许任何人更多地了解文化技术的非常规特征。
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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