relation: https://khub.utp.edu.my/scholars/8845/
title: Mobile robot path planning using Ant Colony Optimization
creator: Rashid, R.
creator: Perumal, N.
creator: Elamvazuthi, I.
creator: Tageldeen, M.K.
creator: Khan, M.K.A.A.
creator: Parasuraman, S.
description: Ant colony optimization (ACO) technique is proposed to solve the mobile robot path planning (MRPP) problem. In order to demonstrate the effectiveness of ACO in solving the MRPP problem, several maps of varying complexity used by an earlier researcher is used for evaluation. Each map consists of static obstacles in different arrangements. Besides that, each map has a grid representation with an equal number of rows and columns. The performance of the proposed ACO is tested on a given set of maps. Overall, the results demonstrate the effectiveness of the proposed approach for path planning. © 2016 IEEE.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2017
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Rashid, R. and Perumal, N. and Elamvazuthi, I. and Tageldeen, M.K. and Khan, M.K.A.A. and Parasuraman, S.  (2017) Mobile robot path planning using Ant Colony Optimization.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015962268&doi=10.1109%2fROMA.2016.7847836&partnerID=40&md5=bda25be6f6d2162eb028ffe7718cf325
relation: 10.1109/ROMA.2016.7847836
identifier: 10.1109/ROMA.2016.7847836