Items where Author is "Mubin, Marizan"

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Number of items: 6.

Article

Ab Aziz, Nor Azlina and Ibrahim, Zuwairie and Mubin, Marizan and Nawawi, Sophan Wahyudi and Mohamad, Mohd Saberi (2018) Improving particle swarm optimization via adaptive switching asynchronous – synchronous update. Applied Soft Computing, 72. pp. 298-311. ISSN 1568-4946

Ab Aziz, Nor Azlina and Ibrahim, Zuwairie and Sudin, Shahdan and Mubin, Marizan (2017) Adaptive switching gravitational search algorithm: an attempt to improve diversity of gravitational search algorithm through its iteration strategy. Sādhanā, 42 (7). pp. 1103-1121. ISSN 0256-2499, eISSN: 0973-7677

Ab Aziz, Nor Azlina and Mubin, Marizan and Mohamad, Mohd Saberi and Ab. Aziz, Kamarulzaman (2014) A synchronous-asynchronous particle swarm optimisation algorithm. The Scientific World Journal, 2014. ISSN 1537-744X

Book Section

Ab Aziz, Nor Azlina and Abdul Aziz, Nor Hidayati and Muhammad, Badaruddin and Ibrahim, Zuwairie and Mubin, Marizan and Mokhtar, Norrima and Mohamad, Mohd Saberi (2020) A Diversity-Based Adaptive Synchronous-Asynchronous Switching Simulated Kalman Filter Optimizer. In: InECCE2019. Lecture Notes in Electrical Engineering, 632 . Springer Nature, pp. 113-126. ISBN 978-981-15-2316-8, 978-981-15-2317-5

Conference or Workshop Item

Ibrahim, Zuwairie and Ab. Aziz, Nor Azlina and Mubin, Marizan and Mokhtar, Norrima (2020) Synchronous-Asynchronous Simulated Kalman Filter Algorithm with Random Switching. In: International Conference on Communication, Electrical and Computer Networks (ICCECN 2020), 25-26 Jan 2020, University of Malaya, Kuala Lumpur, Malaysia.

Ab Aziz, Nor Azlina and Abdul Aziz, Nor Hidayati and Ibrahim, Zuwairie and Mubin, Marizan and Mokhtar, Norrima and Shapiai, Mohd Ibrahim (2019) A Fitness-Based Adaptive Synchronous-Asynchronous Switching in Simulated Kalman Filter Optimizer. In: 2019 International Conference on Computer and Information Sciences, ICCIS 2019, 3-4 April 2019, Sakaka, Saudi Arabia.

This list was generated on Thu Apr 18 17:05:51 2024 +08.