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Items where Author is "Salinda, Buyamin"

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Number of items: 5.

Article

Faradila, Naim and Kian, Sheng Lim and Salinda, Buyamin and Anita, Ahmad and Mohd Ibrahim, Shapiai and Marizan, Mubin and Dong, Hwa Kim (2014) Improving Vector Evaluated Particle Swarm Optimisation using Multiple Nondominated Leaders. The Scientific World Journal, 2014. pp. 1-21. ISSN 2356-6140 (print); 1537-744X (online)

Kian, Sheng Lim and Zuwairie, Ibrahim and Salinda, Buyamin and Anita, Ahmad and Faradila, Naim and Kamarul Hawari, Ghazali and Norrima, Mokhtar (2013) Improving Vector Evaluated Particle Swarm Optimisation by Incorporating Nondominated Solutions. The Scientific World Journal, 2013. pp. 1-19. ISSN 2356-6140 (print); 1537-744X (online)

Book Section

Kamarul Hawari, Ghazali and Zuwairie, Ibrahim and Faradila, Naim and Kian, Sheng Lim and Salinda, Buyamin and Anita, Ahmad and Sophan Wahyudi, Nawawi and Norrima, Mokhtar (2015) An Improved VEPSO Algorithm for Multi-objective Optimisation Problems. In: The Malaysia-Japan Model on Technology Partnership. Springer, Japan, pp. 253-263. ISBN 978-4-431-54438-8 (print); 978-4-431-54439-5 (online)

Conference or Workshop Item

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. .

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..

This list was generated on Wed May 27 00:00:13 2020 +08.