Implementation of Genetic Algorithm in a globally static environment for Optimal Path Planning (P-0230) (MFN 3541)

Abstract

The basic purpose of our project is to implement GENETIC ALGORITHM on a UGV in a globally static environment for optimal path planning. Different techniques like cross over, mutation and gene pool are used for the implementation of Genetic Algorithm. In our project we use Gene pool and cross over method for feasible paths. The UGV used for our project will be capable enough to find an optimal path from a pool of feasible paths available. The start and the final point will be provide to the UGV by a user via a graphical user interface. This input from the user will be transmitted to the UGV by using RF transmitter/receiver. The live streaming of the UGV can see on PC by using IP camera. The project has various practical applications including military, household, Industrial, Automobiles etc. the core purpose of the project is to provide surveillance and the shortest path available, which is of great importance in military use. Planning for a mission or devising a certain strategy is better done by the help of such devices that provide real time surveillance of the traffic place without physically being present there.