eprintid: 2276
rev_number: 7
eprint_status: archive
userid: 337
dir: disk0/00/00/22/76
datestamp: 2016-12-19 16:50:18
lastmod: 2016-12-19 16:50:18
status_changed: 2016-12-19 16:50:18
type: article
metadata_visibility: show
creators_name: Hoang, Anh Quy
creators_name: Pham, Minh Trien
creators_id: quyha@vnu.edu.vn
creators_id: trienpm@vnu.edu.vn
title: Swarm Optimization Approach for Light Source Detection by Multi-robot System
ispublished: inpress
subjects: ECE
subjects: ElectronicsandComputerEngineering
divisions: fac_fet
abstract: Exploration and searching in unknown or hazardous environments using multi-robot systems (MRS) is among the principal topics in robotics. There have been numerous works on searching and detection of odor, fire or pollution sources. In this paper, a modified Particle Swarm Optimization Algorithm (PSO) was presented for MRS on detecting light sources, namely APSO. In the proposed algorithm, an integration of conventional PSO and Artificial Potential Field (APF) is employed to use swarm intelligence for space exploration and light source detection. The formulas for APSO velocities are based on those of PSO and APF. Furthermore, each particle is surrounded by an APF that forms repulsive force to prevent collision while the swarm is in operation. The simulation results of APSO in Matlab by various scenarios confirmed the reliability and efficiency of the proposed algorithm.
date: 2016
date_type: published
publisher: VNU Journal of Science
full_text_status: none
publication: VNU Journal of Computer Science and Communication Engineering
refereed: TRUE
issn: 0866-8612
funders: Vietnam National University, Hanoi
projects: QG.15.25
citation:   Hoang, Anh Quy and Pham, Minh Trien  (2016) Swarm Optimization Approach for Light Source Detection by Multi-robot System.  VNU Journal of Computer Science and Communication Engineering .    ISSN 0866-8612    (In Press)