Proceeding International Conference on Information Technology and Business
2017: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 3

Autonomous Robot Path Planning Using Ant Colony Optimization and Evolutionary Programming

Yisti Vita Via (University Of Pembangunan Nasional Veteran)
Sugiarto - (University Of Pembangunan Nasional Veteran)
Salamun Rohman Nudin (State Univesity Of Surabaya)



Article Info

Publish Date
14 Dec 2017

Abstract

This paper proposed an evolutionary approach for mobile robot path planning. The proposed method combines the Ant Colony Optimization algorithm as a local search procedure and the Evolutionary Programming algorithm to optimize the feasible path found by a set of local procedures. It explores the Ant Colony Optimization algorithm to determine the shortest feasible path from any current position to the target position in unknown environment with static obstacles. Criteria used to measure planning effectiveness include the path length and the smoothness of planned paths.Keywords : Mobile robot, path planning, Ant Colony Optimization, and Evolutionary Programming. 

Copyrights © 2017






Journal Info

Abbrev

icitb

Publisher

Subject

Computer Science & IT Economics, Econometrics & Finance

Description

Proceeding International Conference on Information Technology and Business is a series of one-year international conferences organized by the Informatics and Business Institute Darmajaya, with local and international partners. The conference will provide a unique opportunity for the productive ...