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Parallel distributed genetic algorithm development based on microcontrollers framework by Krishnan P.S., Kiong T.S., Koh J.

Simultaneous computation of model order and parameter estimation for ARX model based on single swarm and multi swarm simulated Kalman filter by Kamil Zakwan, Mohd Azmi, Zuwairie, Ibrahim, Pebrianti, Dwi, Mohd Saberi, Mohamad

“…Simultaneous Model Order and Parameter Estimation (SMOPE) and Simultaneous Model Order and Parameter Estimation based on Multi Swarm (SMOPE-MS) are two techniques of implementing meta-heuristic algorithm to iteratively establish an optimal model order and parameters simultaneously for an unknown system. …”
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A modified genetic algorithm for controller placement problem in SDN distributed network by Ibrahim, Abeer A. Z., Hashim, Fazirulhisyam, Sali, Aduwati, Noordin, Nor K., Fadul, Saber M. E.

“…The proposed method simultaneously identifies the optimum number of controllers, minimizes the delay, and ensures load balancing among controllers. …”
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Novel packet scheduling algorithm based on cross component carrier in LTE-advanced network with carrier aggregation by Al-Shibly, Mohammed A. M., Habaebi, Mohamed Hadi, Islam, Md. Rafiqul

“…The proposed PS algorithm is implemented and validated in a PS module for LTE\LTE-Advanced via system level simulations. …”
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Chaotic ant swarm optimization for economic dispatch considering transmission losses / Amelia Abd Razak by Abd Razak, Amelia

“…The proposed method is tested on six generation unit systems and the results show that it is able to solve ED problem. CASO algorithm used in this study was implemented by using MATLAB 7.5.0 (R2007b). …”
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Menu Planning Model for Malaysian Boarding School Using Self-Adaptive Hybrid Genetic Algorithms by Siti Noor Asyikin, Mohd Razali

“…Thus, proper menu planning process among menu planners or caterers is important to avoid some diet-related diseases in the hture. …”
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Crosstalk-Free Scheduling Algorithms for Routing in Optical Multistage Interconnection Networks by Raja Mohd Auzar, Tengku Dian Shahida

“…It is proven in this thesis that the new approach has by far achieved the best performance among all the algorithms being tested in this research …”
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Experimental verification of P&O MPPT algorithm with direct control based on Fuzzy logic control using CUK converter by Radjai, T., Gaubert, J.P., Rahmani, L., Mekhilef, Saad

“…The choice and design of a high efficient maximum power point tracking (MPPT) algorithm is a necessity in the PV system design. Many approaches have been proposed in literature, among them, the methods that are based on perturb and observe (P&O), widely used in commercial products due their simplicity and ease of implementation. …”
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Optimal load management strategy for enhanced time of use (ETOU) electricity tariff in Peninsular Malaysia / Mohamad Fani Sulaima by Sulaima, Mohamad Fani

“…Self-organizing mapping algorithm was integrated with the PSO, EPSO, and ACO algorithms to classify and select the best load management (LM) strategies. …”
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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Optimal Power Flow of power systems using Harris Hawks Optimization and Salp Swarm Algorithm by Zohrul, Islam Mohammad

“…Additionally, no preference weighted sum method has been employed to solve multi-objective OPF problems simultaneously. The obtained results showed the decent improvement comparing to other swarm-based techniques like Whale Optimization Algorithm (WOA), Math Flame (MF), and Glowworm Optimization Algorithm (GOA) in terms of convergence performance and quality. …”
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Dynamic channel selection for meshed wireless personal area network by Abdul Lateef, Ahmed

“…A Dynamic Channel Selection Algorithm has been suggested. This algorithm uses the available channels, which are five channels in the WPAN, to enable simultaneous transmission of two or more channels to achieve a high packet delivery ratio and better performance of the network especially when it uses applications that needs high traffic. …”
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Enhancing unity-based AR with optimal lossless compression for digital twin assets by Hlayel, Mohammed, Hairulnizam, Mahdin, Hayajneh, Mohammad, AlDaajeh, Saleh H., Siti Salwani, Yaacob, Mazidah, Mat Rejab

“…Experimental results show a detailed comparison among these compression algorithms, which can give insights and help choose the best method according to the compression ratio, decompression speed, and resource usage. …”
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Hybrid-discrete multi-objective particle swarm optimization for multi-objective job-shop scheduling by Anuar, Nurul Izah

“…From the results, it is found that the proposed improved algorithm is effective in solving the benchmark instances compared to when no improvement is implemented and with a reasonable increase in computational costs. …”
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Hyperparameter tuning in deep learning using NSGA-III: a Multi-Objective perspective by Mohamad Rom, Abdul Rahman

“…Traditional hyperparameter tuning methods such as manual search, grid search, and random search are inefficient and computationally expensive, failing to address real-world trade-offs among conflicting objectives. This thesis proposes and implements a novel framework: the Multi-Objective NSGA-III-DL model, wherein the Non-Dominated Sorting Genetic Algorithm III (NSGA-III) is directly infused into the deep learning optimization process. …”
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Adaptive linux-based TCP congestion control algorithm for high-speed networks by Alrshah, Mohamed A.

“…In general, high-speed networks are deployed to provide connectivity among computing elements, storage devices and/or data centers in order to provide fast and reliable services for end-users. …”
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A hybrid simple exponential smoothing-barnacles mating optimization approach for parameter estimation: Enhancing COVID-19 forecasting in Malaysia by Azlan, Abdul Aziz, Zuriani, Mustaffa, Suzilah, Ismail, Nor Azriani, Mohamad Nor, Nurin Qistina, Mohamad Fozi

“…Single or simple exponential smoothing (SES) is a time series forecasting model popular among researchers due to its simplicity and ease of use. …”
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Optimization algorithms for multipath transfer over asymmetric paths using concurrent multipath transfer stream control transmission protocol by Abass, Abdulridha Hanash

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Load balancing and congestion control in ATM using fuzzy logic and spiking neuron network / Tan Jiann Shin by Tan, Jiann Shin

“…The proposed intelligent routing algorithm, integrates spiking neuron network with fuzzy link cost for the dynamic routing computation. …”
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