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首页> 外文期刊>International Journal of Innovative Research in Science, Engineering and Technology >Fuzzy Relational Clustering Algorithm Based Multi- Agent Systems
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Fuzzy Relational Clustering Algorithm Based Multi- Agent Systems

机译：基于模糊关系聚类的多智能体系统

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A multi-agent system (MAS) is a distributed system which is composed of multiple interacting intelligent agents or entities. These agents are used to solve complex functions and operations which are all difficult to solve by human. This paper mainly concentrates on agent fitness and the growth of an agent population. Here we evaluate each and every entity based on agent fitness. The agents are arranged depends on fitness value. It transforms a set (information) of mathematical objects (typically fixed-length binary disposition strings), each with an corresponding fitness value, into a new set of information classified into objects using the clustering principle of natural selection and using operations that are patterned after naturally occurring fuzzy logic operations, such as crossover and mutation. Evaluated agents are used to extract the data from relational database.
机译：多代理系统（MAS）是一种分布式系统，由多个交互的智能代理或实体组成。这些代理用于解决人难以解决的复杂功能和操作。本文主要关注代理人适应度和代理人数量的增长。在这里，我们基于代理适合度评估每个实体。代理的安排取决于适应度值。它将使用自然选择的聚类原理和使用在之后进行模式化的操作将一组数学对象（通常为固定长度的二进制处理字符串）（具有固定的适应性值）转换为一组新的信息，这些新信息分类为对象自然发生的模糊逻辑运算，例如交叉和变异。评估的代理用于从关系数据库中提取数据。

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