ARTIFICIAL INTELLIGENCE IN THE MOVEMENT OF MOBILE AGENT (ROBOTIC)

Abstract

Many difficult problems, like: Travelling Salesman Problem (TSP), Evolutionary algorithms and neural networks are required to solving computational intelligence. In these problems the travelling salesman problem TSP has large application area. Maximum benefits TSP, price collecting TSP have a large number of economic applications. TSP is also used in the transport logic raja, 2012. In this paper a mobile Robotic agent’s Movement will be discussed, using neural networks for the TSP solving, and from the TSP results finding Moving direction of the agent’s working area. This paper mainly focused on the moving direction and finding objects of the robotic agent by implementing the neural networks.