Analysis of Vector Evaluated Particle Swarm Optimization Guided by Non-Dominated Solutions : Inertia Weight, Cognitive, and Social Constants
Recently, an improved Vector Evaluated Particle Swarm Optimisation (VEPSO) algorithm is introduced by redefining the swarm's leader as non-dominated solutions. The improved VEPSO algorithm is named as VEPSOnds. Since a parameter tuning of a heuristic algorithm is normally difficult. Hence, in t...
| Main Authors: | , , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2014
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/6759/1/Analysis_of_Vector_Evaluated_Particle_Swarm_Optimization_Guided_by_Non-.PDF |
| _version_ | 1825821827948085248 |
|---|---|
| author | Kian, Sheng Lim Zuwairie, Ibrahim Salinda, Buyamin Anita, Ahmad Nurul Wahidah, Arshad Faradila, Naim |
| author_facet | Kian, Sheng Lim Zuwairie, Ibrahim Salinda, Buyamin Anita, Ahmad Nurul Wahidah, Arshad Faradila, Naim |
| author_sort | Kian, Sheng Lim |
| collection | UMP |
| description | Recently, an improved Vector Evaluated Particle Swarm Optimisation (VEPSO) algorithm is introduced by redefining the swarm's leader as non-dominated solutions. The improved VEPSO algorithm is named as VEPSOnds. Since a parameter tuning of a heuristic algorithm is normally difficult. Hence, in this paper, three important parameters of the improved VEPSO, which are inertia weight, cognitive constant, and social constant, are analyzed. The results suggest that the inertia weight should gradually degrade from 1.0 to 0.4, and both cognitive and social constants to be random value in between 1.5 and 2.5. |
| first_indexed | 2024-03-06T11:47:25Z |
| format | Conference or Workshop Item |
| id | UMPir6759 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:47:25Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | UMPir67592018-02-08T02:20:38Z http://umpir.ump.edu.my/id/eprint/6759/ Analysis of Vector Evaluated Particle Swarm Optimization Guided by Non-Dominated Solutions : Inertia Weight, Cognitive, and Social Constants Kian, Sheng Lim Zuwairie, Ibrahim Salinda, Buyamin Anita, Ahmad Nurul Wahidah, Arshad Faradila, Naim TK Electrical engineering. Electronics Nuclear engineering Recently, an improved Vector Evaluated Particle Swarm Optimisation (VEPSO) algorithm is introduced by redefining the swarm's leader as non-dominated solutions. The improved VEPSO algorithm is named as VEPSOnds. Since a parameter tuning of a heuristic algorithm is normally difficult. Hence, in this paper, three important parameters of the improved VEPSO, which are inertia weight, cognitive constant, and social constant, are analyzed. The results suggest that the inertia weight should gradually degrade from 1.0 to 0.4, and both cognitive and social constants to be random value in between 1.5 and 2.5. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6759/1/Analysis_of_Vector_Evaluated_Particle_Swarm_Optimization_Guided_by_Non-.PDF Kian, Sheng Lim and Zuwairie, Ibrahim and Salinda, Buyamin and Anita, Ahmad and Nurul Wahidah, Arshad and Faradila, Naim (2014) Analysis of Vector Evaluated Particle Swarm Optimization Guided by Non-Dominated Solutions : Inertia Weight, Cognitive, and Social Constants. In: 9th International Conference on Innovative Computing, Information and Control , 15-18 June 2014 , Busan, Korea. . (Published) |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Kian, Sheng Lim Zuwairie, Ibrahim Salinda, Buyamin Anita, Ahmad Nurul Wahidah, Arshad Faradila, Naim Analysis of Vector Evaluated Particle Swarm Optimization Guided by Non-Dominated Solutions : Inertia Weight, Cognitive, and Social Constants |
| title | Analysis of Vector Evaluated Particle Swarm Optimization Guided by Non-Dominated Solutions : Inertia Weight, Cognitive, and Social Constants |
| title_full | Analysis of Vector Evaluated Particle Swarm Optimization Guided by Non-Dominated Solutions : Inertia Weight, Cognitive, and Social Constants |
| title_fullStr | Analysis of Vector Evaluated Particle Swarm Optimization Guided by Non-Dominated Solutions : Inertia Weight, Cognitive, and Social Constants |
| title_full_unstemmed | Analysis of Vector Evaluated Particle Swarm Optimization Guided by Non-Dominated Solutions : Inertia Weight, Cognitive, and Social Constants |
| title_short | Analysis of Vector Evaluated Particle Swarm Optimization Guided by Non-Dominated Solutions : Inertia Weight, Cognitive, and Social Constants |
| title_sort | analysis of vector evaluated particle swarm optimization guided by non dominated solutions inertia weight cognitive and social constants |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/6759/1/Analysis_of_Vector_Evaluated_Particle_Swarm_Optimization_Guided_by_Non-.PDF |
| work_keys_str_mv | AT kianshenglim analysisofvectorevaluatedparticleswarmoptimizationguidedbynondominatedsolutionsinertiaweightcognitiveandsocialconstants AT zuwairieibrahim analysisofvectorevaluatedparticleswarmoptimizationguidedbynondominatedsolutionsinertiaweightcognitiveandsocialconstants AT salindabuyamin analysisofvectorevaluatedparticleswarmoptimizationguidedbynondominatedsolutionsinertiaweightcognitiveandsocialconstants AT anitaahmad analysisofvectorevaluatedparticleswarmoptimizationguidedbynondominatedsolutionsinertiaweightcognitiveandsocialconstants AT nurulwahidaharshad analysisofvectorevaluatedparticleswarmoptimizationguidedbynondominatedsolutionsinertiaweightcognitiveandsocialconstants AT faradilanaim analysisofvectorevaluatedparticleswarmoptimizationguidedbynondominatedsolutionsinertiaweightcognitiveandsocialconstants |