Swarm Optimization Approach for Light Source Detection by Multi-robot System

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Hoang, Anh Quy, Pham, Minh Trien
Format: Article
Language:English
Published: ĐHQGHN 2017
Subjects:
PSO
MRS
APF
Online Access:http://repository.vnu.edu.vn/handle/VNU_123/57025
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Vietnam National University, Hanoi
Language: English
id oai:112.137.131.14:VNU_123-57025
record_format dspace
spelling oai:112.137.131.14:VNU_123-570252018-07-17T00:43:12Z Swarm Optimization Approach for Light Source Detection by Multi-robot System Hoang, Anh Quy Pham, Minh Trien PSO MRS APF APSO light source detection 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. 2017-08-15T07:21:45Z 2017-08-15T07:21:45Z 2016 Article Hoàng, A. Q, Phạm. M.T. (2016). Swarm Optimization Approach for Light Source Detection by Multi-robot System. VNU Journal of Science: Comp. Science & Com. Eng., 32, 3, 1-10. 0866-8612 http://repository.vnu.edu.vn/handle/VNU_123/57025 en Journal of Comp. Science & Com. En. application/pdf ĐHQGHN
institution Vietnam National University, Hanoi
building VNU Library & Information Center
country Vietnam
collection VNU Digital Repository
language English
topic PSO
MRS
APF
APSO
light source detection
spellingShingle PSO
MRS
APF
APSO
light source detection
Hoang, Anh Quy
Pham, Minh Trien
Swarm Optimization Approach for Light Source Detection by Multi-robot System
description 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.
format Article
author Hoang, Anh Quy
Pham, Minh Trien
author_facet Hoang, Anh Quy
Pham, Minh Trien
author_sort Hoang, Anh Quy
title Swarm Optimization Approach for Light Source Detection by Multi-robot System
title_short Swarm Optimization Approach for Light Source Detection by Multi-robot System
title_full Swarm Optimization Approach for Light Source Detection by Multi-robot System
title_fullStr Swarm Optimization Approach for Light Source Detection by Multi-robot System
title_full_unstemmed Swarm Optimization Approach for Light Source Detection by Multi-robot System
title_sort swarm optimization approach for light source detection by multi-robot system
publisher ĐHQGHN
publishDate 2017
url http://repository.vnu.edu.vn/handle/VNU_123/57025
_version_ 1680963385155387392