The impact of social network structure in particle swarm optimization for classification problems
Particle Swarm Optimization (PSO) is a mechanism that involves several particles (solutions) interacting among each other to find the best solutions. It is a functional procedure by initializing a population of random solutions and searches its member by assigning random positions and velocities. Th...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Medwell Online
2009
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/13140/1/RazanaAlwee2009_TheImpactOfSocialNetworkStructure.pdf |
| _version_ | 1796855198255153152 |
|---|---|
| author | Alwee, Razana Shamsuddin, Siti Mariyam A. Aziz, Firdaus Chey, K. H. Abdull Hameed, Haza Nuzly |
| author_facet | Alwee, Razana Shamsuddin, Siti Mariyam A. Aziz, Firdaus Chey, K. H. Abdull Hameed, Haza Nuzly |
| author_sort | Alwee, Razana |
| collection | ePrints |
| description | Particle Swarm Optimization (PSO) is a mechanism that involves several particles (solutions) interacting among each other to find the best solutions. It is a functional procedure by initializing a population of random solutions and searches its member by assigning random positions and velocities. The potential particle solutions are then flown through the hyperspace to get the optimum solutions. In this study, social network structure of PSO is incorporated into Artificial Neural Network (ANN) to investigate its learning efficiency. The results yield that the classification and convergence rates of ANN with ring structure (lbest) is better compared to the star social structure (gbest). These results are further validated by executing statistical significant test for better justification. |
| first_indexed | 2024-03-05T18:25:07Z |
| format | Article |
| id | utm.eprints-13140 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T18:25:07Z |
| publishDate | 2009 |
| publisher | Medwell Online |
| record_format | dspace |
| spelling | utm.eprints-131402017-03-05T00:31:49Z http://eprints.utm.my/13140/ The impact of social network structure in particle swarm optimization for classification problems Alwee, Razana Shamsuddin, Siti Mariyam A. Aziz, Firdaus Chey, K. H. Abdull Hameed, Haza Nuzly QA75 Electronic computers. Computer science Particle Swarm Optimization (PSO) is a mechanism that involves several particles (solutions) interacting among each other to find the best solutions. It is a functional procedure by initializing a population of random solutions and searches its member by assigning random positions and velocities. The potential particle solutions are then flown through the hyperspace to get the optimum solutions. In this study, social network structure of PSO is incorporated into Artificial Neural Network (ANN) to investigate its learning efficiency. The results yield that the classification and convergence rates of ANN with ring structure (lbest) is better compared to the star social structure (gbest). These results are further validated by executing statistical significant test for better justification. Medwell Online 2009 Article PeerReviewed application/pdf en http://eprints.utm.my/13140/1/RazanaAlwee2009_TheImpactOfSocialNetworkStructure.pdf Alwee, Razana and Shamsuddin, Siti Mariyam and A. Aziz, Firdaus and Chey, K. H. and Abdull Hameed, Haza Nuzly (2009) The impact of social network structure in particle swarm optimization for classification problems. International Journal of Soft Computing, 4 (4). 151 -156. ISSN 1816-9503 |
| spellingShingle | QA75 Electronic computers. Computer science Alwee, Razana Shamsuddin, Siti Mariyam A. Aziz, Firdaus Chey, K. H. Abdull Hameed, Haza Nuzly The impact of social network structure in particle swarm optimization for classification problems |
| title | The impact of social network structure in particle swarm optimization for classification problems |
| title_full | The impact of social network structure in particle swarm optimization for classification problems |
| title_fullStr | The impact of social network structure in particle swarm optimization for classification problems |
| title_full_unstemmed | The impact of social network structure in particle swarm optimization for classification problems |
| title_short | The impact of social network structure in particle swarm optimization for classification problems |
| title_sort | impact of social network structure in particle swarm optimization for classification problems |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/13140/1/RazanaAlwee2009_TheImpactOfSocialNetworkStructure.pdf |
| work_keys_str_mv | AT alweerazana theimpactofsocialnetworkstructureinparticleswarmoptimizationforclassificationproblems AT shamsuddinsitimariyam theimpactofsocialnetworkstructureinparticleswarmoptimizationforclassificationproblems AT aazizfirdaus theimpactofsocialnetworkstructureinparticleswarmoptimizationforclassificationproblems AT cheykh theimpactofsocialnetworkstructureinparticleswarmoptimizationforclassificationproblems AT abdullhameedhazanuzly theimpactofsocialnetworkstructureinparticleswarmoptimizationforclassificationproblems AT alweerazana impactofsocialnetworkstructureinparticleswarmoptimizationforclassificationproblems AT shamsuddinsitimariyam impactofsocialnetworkstructureinparticleswarmoptimizationforclassificationproblems AT aazizfirdaus impactofsocialnetworkstructureinparticleswarmoptimizationforclassificationproblems AT cheykh impactofsocialnetworkstructureinparticleswarmoptimizationforclassificationproblems AT abdullhameedhazanuzly impactofsocialnetworkstructureinparticleswarmoptimizationforclassificationproblems |