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...
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2014
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my.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. |
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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 |
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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. |
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Conference or Workshop Item |
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. |
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Muhammad, B. |
title |
Performance evaluation of vector evaluated gravitational search algorithm II |
title_short |
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_sort |
performance evaluation of vector evaluated gravitational search algorithm ii |
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2014 |
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http://eprints.um.edu.my/13034/1/somet201414.pdf http://eprints.um.edu.my/13034/ |
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1643689443158130688 |
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13.159267 |