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...
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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 |
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PSO MRS APF APSO light source detection Hoang, Anh Quy Pham, Minh Trien Swarm Optimization Approach for Light Source Detection by Multi-robot System |
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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. |
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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 |
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ĐHQGHN |
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2017 |
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http://repository.vnu.edu.vn/handle/VNU_123/57025 |
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