Search Results - Sequential numerical optimization

Stochastic numerical treatment for solving Falkner–Skan equations using feedforward neural networks by Ahmad, Iftikhar, Ahmad, Siraj-ul-Islam, Bilal, Muhammad Qamar, Anwar, Nabeela

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Filter cake neural-objective data modeling and image optimization by Wayo, Dennis Delali Kwesi, Irawan, Sonny, Satyanaga, Alfrendo, Kim, Jong, Mohd Zulkifli, Mohamad Noor, Rasouli, Vamegh

“…These methods utilized the Google TensorFlow Sequential API-DNN architecture, MATLAB-nftool, the MATLAB-image processing tool, and a single-objective optimization algorithm. …”
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Metaheuristic optimization of perovskite solar cell performance using Taguchi grey relational analysis with grey wolf optimizer by Salehuddin, Fauziyah, Mat Junos @ Yunus, Siti Aisah, Ahmad Jalaludin, Nabilah, Mohd Nazli, Nurul Farina, Arith, Faiz, Mohd Zain, Anis Suhaila, Mohamd Rafidi, Nur Ruzanna, Kaharudin, Khairil Ezwan

“…The metaheuristic approach sequentially employs the L27 orthogonal array (OA) Taguchi-based design of experiment (DoE), Grey Relational Analysis (GRA), Multiple Linear Regression (MLR) and Grey Wolf Optimizer (GWO). …”
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Modification of particle swarm optimization algorithm for optimization of discrete values by Mohd Yassin, Ahmad Ihsan, Jusoh, Muhammad Huzaimy, Abdul Rahman, Farah Yasmin

“…The SIP test suite is a set of seven real-life discrete numerical engineering problems, and is a common benchmark for discrete optimization algorithms.…”
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Neural network methods to solve the Lane–Emden type equations arising in thermodynamic studies of the spherical gas cloud model by Ahmad, Iftikhar, Zahoor Raja, Muhammad Asif, Bilal, Muhammad, Ashraf, Farooq

“…Strength of efficient local optimization procedures based on active-set (AS), interior-point (IP) and sequential quadratic programming (SQP) algorithms is used to optimize the energy functions. …”
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Energy Management Systems and Strategies in Buildings Sector: A Scoping Review by Al-Ghaili A.M., Kasim H., Al-Hada N.M., Jorgensen B.N., Othman M., Jihua W.

Anomalous transport of microalgae Chlorella vulgaris in microfluidic channel / Nur Izzati Ishak by Nur Izzati , Ishak

“…A numerical simulation of the particles transport in a microfluidic channel was carried using COMSOL Multiphysics software. …”
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Fitting time-varying coefficients SEIRD model to Covid-19 cases in Malaysia by Zulkarnain, Norsyahidah, Abdul Hadi, Muhammad Salihi, Mohammad, Nurul Farahain, Shogar, Ibrahim

“…However, this feature leads to an increasing number of unknowns needed to be solved to fit the model with the actual data. Several optimization algorithms under Python’s LMfit package, such as Levenberg-Marquardt, Nelder-Mead, Trust-Region Reflective and Sequential Linear Squares Programming; are employed to estimate the related parameters, in such that the numerical solution of the ODEs will fit the data with the slightest error. …”
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A novel hybrid of nonlinear sine cosine algorithm and safe experimentation dynamics for model order reduction by Mohd Helmi, Suid, Mohd Ashraf, Ahmad

“…The current study introduces the hybridization of the Nonlinear Sine Cosine Algorithm (NSCA) and Safe Experimentation Dynamics (SED) as a novel optimization method for model order reduction of high-order single-input single-output (SISO) systems. …”
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A novel hybrid of nonlinear sine cosine algorithm and safe experimentation dynamics for model order reduction by Mohd Helmi, Suid, Mohd Ashraf, Ahmad

“…The current study introduces the hybridization of the Nonlinear Sine Cosine Algorithm (NSCA) and Safe Experimentation Dynamics (SED) as a novel optimization method for model order reduction of high-order single-input single-output (SISO) systems. …”
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Design and statistical analysis of initial solution construction approach in curriculum based course timetabling problem by Wahid, Juliana, Mohd Hussin, Naimah

“…This process is a crucial task because it can affect the convergence speed and also the quality of the final solution (Rahnamayan, Tizhoosh, & Salama, 2007).This study able to produce a set of initial solution, therefore it is able to contribute to the improvement phase of approach that uses population of initial solutions such as ant colony optimization (ACO) (Socha, Joshua, & Michael, 2002), genetic algorithm (GA) (Lewis & Paechter, 2005), and harmony search algorithm (HSA) (Al-Betar & Khader, 2010).The approach in this study also shows that a feasible timetable can be found for numerous data set problems.…”
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Design and optimization of nanoemulsion formulation containing Clinacanthus nutans Lindau leaf extract for cosmeceutical application by Che Sulaiman, Intan Soraya

“…Preparation of C. nutans leaves extract were obtained via sequential extraction and the optimization of the extraction process were carried out using Response Surface Methodology (RSM). …”
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An integrated model for production planning and cell formation in cellular manufacturing systems by Raminfar, Reza, Zulkifli, Norzima, Vasili, Mohammadreza, Tang, Sai Hong

“…Most researchers have addressed these issues sequentially or independently, instead of jointly optimizing a combination of these issues. …”
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Green Technology: a must or a need in TVET Education in Malaysia? by Kaliappan, Anusuya, Hamid, Hashima

“…Green Technology is seen as the optimal solution in addressing most of the environmental issues affecting our society today. …”
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Modelling the sustainability of heavy goods vehicle distribution operation towards supporting green logistics development / Muhammad Akmal Asyraaf Adlan by Adlan, Muhammad Akmal Asyraaf

“…Nowadays, the logistics industry in Malaysia has faced numerous issues and challenges. This industry's critical concern is to reduce operational cost and carbon emission by industry players' fleet. …”
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Artificial neural networks to solve the singular model with Neumann–Robin, Dirichlet and Neumann boundary conditions by Kashif Nisar, Zulqurnain Sabir, Muhammad Asif Zahoor Raja, Ag. Asri Ag. Ibrahim, Rodrigues, Joel J. P. C., Samy Refahy Mahmoud, Bhawani Shankar Chowdhry, Manoj Gupta

“…The inspiration to present this numerical framework comes through the objective of introducing a reliable structure that associates the operative ANNs features using the optimization procedures of soft computing to deal with such stimulating systems. …”
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Form Finding And Shape Change Analysis Of Spine Inspired Bio-Tensegrity Model by Oh, Chai Lian

“…Computational strategies for the shape change consist of two stages: the derivation of incremental equilibrium equations and optimization of the cables forced elongation by sequential quadratic programming. …”
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Feature Ranking Techniques For 3D ATS Drug Molecular Structure Identification by Saw, Yee Ching

“…The selected feature subset by each of the selected feature ranking technique were run through five different popular classifiers: Random forest (RF), Naïve Bayes (NB), IBK, Sequential Minimal Optimization (SMO), J48, and their performances were analyzed and compared. …”
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