Effects of Communication Range, Noise and Help Request Signal on Particle Swarm Optimization with Area Extension (AEPSO)
Particle Swarm Optimization (PSO) method is an Evolutionary algorithm, which outperformed other evolutionary algorithms, such as; GA. PSO method is inspired by animal's group work and social behaviors. Particle Swarm Optimization with Area Extension (AEPSO) was introduced to solve the weaknesse...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2007
|
| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/3176/ |
| _version_ | 1848790255000354816 |
|---|---|
| author | Atyabi, Adham Phon-Amnuaisuk, Somnuk Ho, Chin Kuan |
| author_facet | Atyabi, Adham Phon-Amnuaisuk, Somnuk Ho, Chin Kuan |
| author_sort | Atyabi, Adham |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | Particle Swarm Optimization (PSO) method is an Evolutionary algorithm, which outperformed other evolutionary algorithms, such as; GA. PSO method is inspired by animal's group work and social behaviors. Particle Swarm Optimization with Area Extension (AEPSO) was introduced to solve the weaknesses of Basic PSO in static, dynamic optimization tasks (i.e. a group of robots disarm a set of time bomb placed at random in environment). This paper, investigated the effectiveness of AEPSO in a Real-Time problem with a noisy environment. We also explored the effectiveness of different communication ranges and help request on AEPSO. |
| first_indexed | 2025-11-14T18:09:42Z |
| format | Conference or Workshop Item |
| id | mmu-3176 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:09:42Z |
| publishDate | 2007 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-31762011-10-07T06:33:38Z http://shdl.mmu.edu.my/3176/ Effects of Communication Range, Noise and Help Request Signal on Particle Swarm Optimization with Area Extension (AEPSO) Atyabi, Adham Phon-Amnuaisuk, Somnuk Ho, Chin Kuan T Technology (General) QA75.5-76.95 Electronic computers. Computer science Particle Swarm Optimization (PSO) method is an Evolutionary algorithm, which outperformed other evolutionary algorithms, such as; GA. PSO method is inspired by animal's group work and social behaviors. Particle Swarm Optimization with Area Extension (AEPSO) was introduced to solve the weaknesses of Basic PSO in static, dynamic optimization tasks (i.e. a group of robots disarm a set of time bomb placed at random in environment). This paper, investigated the effectiveness of AEPSO in a Real-Time problem with a noisy environment. We also explored the effectiveness of different communication ranges and help request on AEPSO. 2007-11 Conference or Workshop Item NonPeerReviewed Atyabi, Adham and Phon-Amnuaisuk, Somnuk and Ho, Chin Kuan (2007) Effects of Communication Range, Noise and Help Request Signal on Particle Swarm Optimization with Area Extension (AEPSO). In: IEEE/WIC/ACM International Conference on Intelligent Agent Technology and Web Intelligence, 02-05 NOV 2007 , Fremont, CA. http://dx.doi.org/10.1109/IAT.2007.92 doi:10.1109/IAT.2007.92 doi:10.1109/IAT.2007.92 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science Atyabi, Adham Phon-Amnuaisuk, Somnuk Ho, Chin Kuan Effects of Communication Range, Noise and Help Request Signal on Particle Swarm Optimization with Area Extension (AEPSO) |
| title | Effects of Communication Range, Noise and Help Request Signal on Particle Swarm Optimization with Area Extension (AEPSO) |
| title_full | Effects of Communication Range, Noise and Help Request Signal on Particle Swarm Optimization with Area Extension (AEPSO) |
| title_fullStr | Effects of Communication Range, Noise and Help Request Signal on Particle Swarm Optimization with Area Extension (AEPSO) |
| title_full_unstemmed | Effects of Communication Range, Noise and Help Request Signal on Particle Swarm Optimization with Area Extension (AEPSO) |
| title_short | Effects of Communication Range, Noise and Help Request Signal on Particle Swarm Optimization with Area Extension (AEPSO) |
| title_sort | effects of communication range, noise and help request signal on particle swarm optimization with area extension (aepso) |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/3176/ http://shdl.mmu.edu.my/3176/ http://shdl.mmu.edu.my/3176/ |