Performance evaluation of vector evaluated gravitational search algorithm II
This paper presents a performance evaluation of a novel Vector Evaluated Gravitational Search Algorithm II (VEGSAII) for multi-objective optimization problems. The VEGSAII algorithm uses a number of populations of particles. In particular, a population of particles corresponds to one objective funct...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/13034/1/somet201414.pdf |
| _version_ | 1825720280441421824 |
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| author | Muhammad, B. Ibrahim, Z. Ghazali, K.H. Ghazali, M.R. Mubin, M. Mokhtar, M. |
| author_facet | Muhammad, B. Ibrahim, Z. Ghazali, K.H. Ghazali, M.R. Mubin, M. Mokhtar, M. |
| author_sort | Muhammad, B. |
| collection | UM |
| description | This paper presents a performance evaluation of a novel Vector Evaluated Gravitational Search Algorithm II (VEGSAII) for multi-objective optimization problems. The VEGSAII algorithm uses a number of populations of particles. In particular, a population of particles corresponds to one objective function to be minimized or maximized. Simultaneous minimization or maximization of every objective function is realized by exchanging a variable between populations. The results shows that the VEGSA is outperformed by other multi-objective optimization algorithms and further enhancements are needed before it can be employed in any application. |
| first_indexed | 2024-03-06T05:32:43Z |
| format | Conference or Workshop Item |
| id | um.eprints-13034 |
| institution | Universiti Malaya |
| language | English |
| last_indexed | 2024-03-06T05:32:43Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | um.eprints-130342015-03-23T01:00:36Z http://eprints.um.edu.my/13034/ Performance evaluation of vector evaluated gravitational search algorithm II Muhammad, B. Ibrahim, Z. Ghazali, K.H. Ghazali, M.R. Mubin, M. Mokhtar, M. TA Engineering (General). Civil engineering (General) This paper presents a performance evaluation of a novel Vector Evaluated Gravitational Search Algorithm II (VEGSAII) for multi-objective optimization problems. The VEGSAII algorithm uses a number of populations of particles. In particular, a population of particles corresponds to one objective function to be minimized or maximized. Simultaneous minimization or maximization of every objective function is realized by exchanging a variable between populations. The results shows that the VEGSA is outperformed by other multi-objective optimization algorithms and further enhancements are needed before it can be employed in any application. 2014-09 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.um.edu.my/13034/1/somet201414.pdf Muhammad, B. and Ibrahim, Z. and Ghazali, K.H. and Ghazali, M.R. and Mubin, M. and Mokhtar, M. (2014) Performance evaluation of vector evaluated gravitational search algorithm II. In: 13th International Conference on Intelligent Software Methodologies, Tools, and Techniques, 22-24 Sep 2014, Langkawi, Malaysia. |
| spellingShingle | TA Engineering (General). Civil engineering (General) Muhammad, B. Ibrahim, Z. Ghazali, K.H. Ghazali, M.R. Mubin, M. Mokhtar, M. Performance evaluation of vector evaluated gravitational search algorithm II |
| title | Performance evaluation of vector evaluated gravitational search algorithm II |
| title_full | Performance evaluation of vector evaluated gravitational search algorithm II |
| title_fullStr | Performance evaluation of vector evaluated gravitational search algorithm II |
| title_full_unstemmed | Performance evaluation of vector evaluated gravitational search algorithm II |
| title_short | Performance evaluation of vector evaluated gravitational search algorithm II |
| title_sort | performance evaluation of vector evaluated gravitational search algorithm ii |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://eprints.um.edu.my/13034/1/somet201414.pdf |
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