Convergence and Diversity Evaluation for Vector Evaluated Particle Swarm Optimization
Multi-objective optimization can be commonly found in many real world problems. In computational intelligence, Particle Swarm Optimization (PSO) algorithm has increasing popularity in solving optimization problems. An extended PSO algorithm called Vector Evaluated Particle Swarm Optimization (VEPSO)...
| Main Authors: | , , , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/5676/1/Paper_ICMIC_Published_Zaidi.pdf |
| _version_ | 1825821676589285376 |
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| author | Mohd Zaidi, Mohd Tumari Zuwairie, Ibrahim Ismail, Ibrahim Mohd Falfazli, Mat Jusof Faradila, Naim Kamarul Hawari, Ghazali Lim, Kian Sheng Salinda, Buyamin Anita, Ahmad |
| author_facet | Mohd Zaidi, Mohd Tumari Zuwairie, Ibrahim Ismail, Ibrahim Mohd Falfazli, Mat Jusof Faradila, Naim Kamarul Hawari, Ghazali Lim, Kian Sheng Salinda, Buyamin Anita, Ahmad |
| author_sort | Mohd Zaidi, Mohd Tumari |
| collection | UMP |
| description | Multi-objective optimization can be commonly found in many real world problems. In computational intelligence, Particle Swarm Optimization (PSO) algorithm has increasing popularity in solving optimization problems. An extended PSO algorithm called Vector Evaluated Particle Swarm Optimization (VEPSO) has been introduced to solve multi-objective optimization problems. However, VEPSO quantitative performance measure has not been investigated.
Hence, in this study, the performance of VEPSO algorithm is
investigated by measuring the convergence and diversity by
using standard test functions. In addition, comparisons with
other optimization algorithms are also conducted. The results show that the VEPSO algorithm performs weakly in solving problems with concave, mixed, and disconnected Pareto frontier and performs badly in solving multi-modal problems.
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| first_indexed | 2024-03-06T11:45:09Z |
| format | Conference or Workshop Item |
| id | UMPir5676 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:45:09Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | UMPir56762018-02-21T01:48:02Z http://umpir.ump.edu.my/id/eprint/5676/ Convergence and Diversity Evaluation for Vector Evaluated Particle Swarm Optimization Mohd Zaidi, Mohd Tumari Zuwairie, Ibrahim Ismail, Ibrahim Mohd Falfazli, Mat Jusof Faradila, Naim Kamarul Hawari, Ghazali Lim, Kian Sheng Salinda, Buyamin Anita, Ahmad TK Electrical engineering. Electronics Nuclear engineering Multi-objective optimization can be commonly found in many real world problems. In computational intelligence, Particle Swarm Optimization (PSO) algorithm has increasing popularity in solving optimization problems. An extended PSO algorithm called Vector Evaluated Particle Swarm Optimization (VEPSO) has been introduced to solve multi-objective optimization problems. However, VEPSO quantitative performance measure has not been investigated. Hence, in this study, the performance of VEPSO algorithm is investigated by measuring the convergence and diversity by using standard test functions. In addition, comparisons with other optimization algorithms are also conducted. The results show that the VEPSO algorithm performs weakly in solving problems with concave, mixed, and disconnected Pareto frontier and performs badly in solving multi-modal problems. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5676/1/Paper_ICMIC_Published_Zaidi.pdf Mohd Zaidi, Mohd Tumari and Zuwairie, Ibrahim and Ismail, Ibrahim and Mohd Falfazli, Mat Jusof and Faradila, Naim and Kamarul Hawari, Ghazali and Lim, Kian Sheng and Salinda, Buyamin and Anita, Ahmad (2013) Convergence and Diversity Evaluation for Vector Evaluated Particle Swarm Optimization. In: International Conference of Modelling Identification and Control (ICMIC2013) , 31 August - 2 September 2013 , Cairo, Egypt. pp. 280-285.. (Published) |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Mohd Zaidi, Mohd Tumari Zuwairie, Ibrahim Ismail, Ibrahim Mohd Falfazli, Mat Jusof Faradila, Naim Kamarul Hawari, Ghazali Lim, Kian Sheng Salinda, Buyamin Anita, Ahmad Convergence and Diversity Evaluation for Vector Evaluated Particle Swarm Optimization |
| title | Convergence and Diversity Evaluation for Vector Evaluated Particle Swarm Optimization |
| title_full | Convergence and Diversity Evaluation for Vector Evaluated Particle Swarm Optimization |
| title_fullStr | Convergence and Diversity Evaluation for Vector Evaluated Particle Swarm Optimization |
| title_full_unstemmed | Convergence and Diversity Evaluation for Vector Evaluated Particle Swarm Optimization |
| title_short | Convergence and Diversity Evaluation for Vector Evaluated Particle Swarm Optimization |
| title_sort | convergence and diversity evaluation for vector evaluated particle swarm optimization |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/5676/1/Paper_ICMIC_Published_Zaidi.pdf |
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