Multi-agent System for Water Pollution using Genetic Algorithm

Abstract

Multi-agent system is widely used in the real world. It is composed of many agent types which interact with one another through communication. The multi-agent system field is used in many areas as economics, philosophy, logic, ecology, and the social sciences. Genetic Algorithm (GA) will do well in any environment and one of the most powerful methods, with which to quickly create high quality solution to problems. The technique does not ensure an optimal solution to, however, it usually gives good approximation in a reasonable amount of time. GA would be a good algorithm to make decision whether water pollutes or not. Thus, this paper is proposed to make decision whether water pollutes or not using GA and multi-agent system will help the user with autonomous interaction. In this proposed system, water quality attributes, their ranges and limitation, and the diseases and effects cause of each water pollutant defined by the Environmental Protection Agency (EPA) are used.