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Fuzzy Relational Clustering Algorithm Based Multi- Agent Systems

Abstract

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

Eniya.M, Vinoth Kumar.M

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