New modification of the hestenes-stiefel with strong wolfe line search by Japri, Nur Athira, Basri, Srimazzura, Mamat, Mustafa

“…Besides, the conjugate gradient method with the proposed conjugate gradient also guarantees low computation of iteration and CPU time by comparing with other classical conjugate gradient parameters. …”
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Flowfield-dependent variant method for moving-boundary problems by Zulkafli, Mohd Fadhli, Omar, Ashraf A., Asrar, Waqar

“…The formulation itself yields a sparse matrix, which can be solved by using any iterative algorithm. Several benchmark problems in two-dimensional inviscid and viscous flow have been selected to validate the method. …”
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ACOustic: A nature-inspired exploration indicator for ant colony optimization by Sagban, Rafid, Ku-Mahamud, Ku Ruhana, Abu Bakar, Muhamad Shahbani

“…A statistical machine learning indicator, ACOustic, is proposed to evaluate the exploration behavior in the iterations of ant colony optimization algorithms. This idea is inspired by the behavior of some parasites in their mimicry to the queens’ acoustics of their ant hosts.The parasites’ reaction results from their ability to indicate the state of penetration.The proposed indicator solves the problem of robustness that results from the difference of magnitudes in the distance’s matrix, especially when combinatorial optimization problems with rugged fitness landscape are applied.The performance of the proposed indicator is evaluated against the existing indicators in six variants of ant colony optimization algorithms.Instances for travelling salesman problem and quadratic assignment problem are used in the experimental evaluation.The analytical results showed that the proposed indicator is more informative and more robust.…”
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Strategic oscillation for exploitation and exploration of ACS algorithm for job scheduling in static grid computing by Alobaedy, Mustafa Muwafak, Ku-Mahamud, Ku Ruhana

“…However, the rate remains unchanged during the algorithm iterations, which makes the algorithm either bias toward exploitation or exploration.Hence, this study proposes a strategic oscillation rate to control the exploitation and exploration in ant colony system.The proposed algorithm was evaluated with job scheduling problem benchmarks on grid computing.Experimental results show that the proposed algorithm outperforms other metaheuristics algorithms in terms of makespan and flowtime. …”
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Feature engineering for energy systems by Liew, Wee Yeong

“…To ensure that the experiment is as unbiased and functional as possible, we apply several measures such as repeated iterations for up to 25 times, 5-fold cross-validation techniques, and Matthews Correlation Coefficient. …”
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Mobile application for price sharing and comparison by Lim, Zhi En

“…WeSave started in August 2016 and its fourth development iteration has been completed by the final year project student in March 2020. …”
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Facebook image enhancer by Seow, Caixiang.

“…Before the start of the implementation, researches on related projects had been carried out. Incremental and Iterative development model is adopted as the software development model for the application. …”
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Investigations of surface potentials by Pandian, Senthil SharadKumar

“…In order to probe this possibility, the theoretical foundations of Density Functional Theory are studied, and the need for numerical calculations is understood. Iterative methods to solve numerical calculations are presented. …”
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Machine learning on FPGA CAD by Que, Yanghua

“…A classifier was built and refined iteratively from CAD run records; and it was used to predict whether a new set of parameters would produce a good design. …”
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Self-paced regularization in label distribution learning by Koh, Terence Kang Wei

“…However, the process of training is time-consuming as it requires repetitively iterating over a huge training set. To combat this problem, we propose a combinatory method of self-paced regularization with deep learning, where the deep learning model is presented with training data with progressive levels of size, and by extension, difficulty. …”
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Registration using Gaussian mixture map for localization by Yin, Yisheng

“…This GMM approach is compared to traditional Iterative Closest Point (ICP) approach in terms of point-to-point distance accuracy and computation time. …”
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Development of interactive storybook / Maslizawati Mohamad Masnan by Mohamad Masnan, Maslizawati

“…It is suitable because ADDIE model is an iterative instructional design process, where the resuhs of the formative evaluation of each phase may lead the instructional designer back to any previous phase. …”

A New Approach of Optimal Search Solution in Particle Swarm Optimization (PSO) Algorithm for Object Detection Method by Zalili, Musa, Mohd Hafiz, Mohd Hassin, Nurul Izzatie Husna, Fauzi, Rohani, Abu Bakar, Watada, Junzo

“…Finally, performance analysis will be undertaken to justify the strength of the proposed method over conventional algorithm can reduce more than 60% of the required number of particles and iteration.…”
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Comparative analysis of the model-free tuning techniques for integral state feedback controller of a liquid slosh suppression system by Nurul Najihah, Zulkifli, Mohd Syakirin, Ramli

“…Data-driven Pole Placement (DPP) and Fictitious-Reference-Iterative-Tuning with Particle Swarm Optimization (FRIT-PSO) are the two algorithms proposed as the tuning methods for the selected controller structure. …”
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Agents for Fuzzy Indices of Reliability Power System with Uncertainty Using Monte Carlo Algorithm by Shalash, Nadheer A., Abu Zaharin, Ahmad

“…The standard deviation of load level uncertainty in power system reliability assessment has a different value for each load level leading to complexity iterations required in the convergence of Monte Carlo algorithm. …”
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Improved Parameterless K-Means: Auto-Generation Centroids and Distance Data Point Clusters by Wan Maseri, Wan Mohd, Beg, Abul Hashem, Herawan, Tutut, Noraziah, Ahmad

“…The experimental results show that the number of iteration is reduced to 50% and the run time is lower and constantly based on maximum distance of data points, regardless of how many data points.…”
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An Extension of DNA Splicing Systems by Yuhani, Yusof, Nor Haniza, Sarmin, Mazri, Mahmud, T., Elizabeth Goode, Fong, Wan Heng

“…This model consists of a finite alphabet, a finite set of initial strings over the alphabet, and a finite set of rules that act upon the strings by iterated cutting and pasting, generating new strings. …”
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Dual-Criteria Method For Determining Critical Plane Orientation For Multiaxial Fatigue Prediction Using A Genetic Algorithm by M., Kaamal, M. M., Rahman

“…The results show that the proposed model reduces the number of iterations by 90% with greater accuracy than the conventional methods and multiple candidate planes can easily be identified. …”
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Reinforcement learning based predictive maintenance for a machine with multiple deteriorating yield levels by Wang, Xiao, Wang, Hongwei, Qi, Chao, Sivakumar, Appa Iyer

“…The optimal maintenance policy associated with each possible observed system state is learnt by modeling the problem as hidden semi-Markov decision processes and solving it using policy iteration based Q-P learning. Then the future maintenance time can be estimated by re-simulating the system model using the learned maintenance policy. …”
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New developments in transport of intensity equation for phase retrieval and computational imaging by Asundi, Anand, Zuo, Chao

“…Compared to many other phase retrieval algorithms, TIE is non-iterative, purely computational and no complicated auxiliary device needs to be introduced. …”
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