Robot Path Planning using Modified Genetic Algorithm in EC2

Abstract

Translate Article

Path planning is one of the classical problem in the study of network technology in computer science, communications and operations research, geographic information system and robotics. As cloud is very popular in recent years and many organizations are switching to the cloud. This paper proposes the modified genetic algorithm to solve the problem of Robot path planning using EC2. The main purpose of path optimization is to determine the shortest path between the source node and the destination node. The proposed approach determines the shortest path using the fitness function proposed for the Genetic algorithm to perform collision free traversing of robots from its source to destination. The over all problem is solved using cloud computing platform. Here, this paper presents the concept of EC2. To validate the proposed work path length is taken as one of the important parameter. The results are comparatively better than the other relevant work and the same is validated and presented in this paper.