eprintid: 2466
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/24/66
datestamp: 2023-11-09 15:50:41
lastmod: 2023-11-09 15:50:41
status_changed: 2023-11-09 15:43:35
type: conference_item
metadata_visibility: show
creators_name: Pierre, D.M.
creators_name: Zakaria, N.
creators_name: Pal, A.J.
title: Self-Organizing Map approach to determining compromised solutions for multi-objective UAV path planning
ispublished: pub
keywords: Compromised solution; Contrasting Objectives; Hazardous environment; Key words; Multi objective; Multi-objective problem; Path planning problems; Path-planning, Conformal mapping; Heuristic methods; Multiobjective optimization; Robotics; Robots; Unmanned aerial vehicles (UAV); Virtual reality, Motion planning
note: cited By 5; Conference of 2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012 ; Conference Date: 5 December 2012 Through 7 December 2012; Conference Code:96538
abstract: The demand for Unmanned Aerial Vehicle (UAV) extends to various civil and military missions. While the use of remotely controlled UAV reduces the rate of human casualties in hazardous environments, it is reported that most of UAV accidents are caused by human factor errors. Automated path planning is required and because of the multi-objective nature of UAV's missions, several heuristic approaches to path planning have been proposed in order to automate UAV's navigation. While solving multi-objective problems requires the search for a set of pareto-optimal points, it requires the involvement of the user to select the desired result from the solution space. In this paper, we propose a variant of Self-Organizing Map approach to finding a compromised solution for a multi-objective path planning problem that does not require user involvement. Preliminary tests conducted in virtual environments have shown the immunity of our algorithm to local minima, and its efficiency to respond to multiple objectives. © 2012 IEEE.
date: 2012
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876065766&doi=10.1109%2fICARCV.2012.6485293&partnerID=40&md5=7ac49f5cb8371641567fefe19028855f
id_number: 10.1109/ICARCV.2012.6485293
full_text_status: none
publication: 2012 12th International Conference on Control, Automation, Robotics and Vision, ICARCV 2012
place_of_pub: Guangzhou
pagerange: 995-1000
refereed: TRUE
isbn: 9781467318716
citation:   Pierre, D.M. and Zakaria, N. and Pal, A.J.  (2012) Self-Organizing Map approach to determining compromised solutions for multi-objective UAV path planning.  In: UNSPECIFIED.