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Development of Simulated Annealing Based Scheduling Algorithm for Two Machines Flow Shop Problem by M., Muziana, Kamal Z., Zamli

“…Viewing as optimization problem and focusing on two machines, this research aims to develop a new Simulated Annealing based scheduling algorithm, called SA2M, for flow shop problem. …”
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Application of Krylov Subspace methods for solving Continuous Power Flow problem in voltage stability analysis of power system by Jasni, Jasronita

“…Continuation Power Flow (CPF) analysis is developed to overcome singularity problem of Jacobian matrix of power flow analysis. …”
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Modeling and optimization of cost-based hybrid flow shop scheduling problem using metaheuristics by Ullah, Wasif, Mohd Fadzil Faisae, Ab Rashid, Muhammad Ammar, Nik Mu’tasim

“…This paper aims to develop a computational model and test the exploration capability of metaheuristics algorithms while optimizing the CHFS problem. …”
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A whale optimization algorithm approach for flow shop scheduling to minimize makespan by Mohd Abdul Hadi, Osman, Mohd Fadzil Faisae, Ab Rashid, Muhammad Ammar, Nik Mu’tasim

“…This study proposes a computerized approach utilizing the Whale Optimization Algorithm (WOA) to solve the flow shop scheduling problem and minimize the makespan. …”
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Beam Search Approach for the Multiobjective Flow-shop Scheduling Problem by Kanesan , Muthusamy, Ishii, Hiroaki, Mohri, Shintaro, Masuda, Teruo

“…We develop and propose an approximation algorithm to find the non-dominated solutions for the above problem. …”
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Methodology to develop heuristic for re-entrant flow shop with two potential dominant machines using bottleneck approach by Bareduan, Salleh Ahmad, Hasan, Sulaiman

“…Two generalised makespan algorithms using bottleneck approach were developed for the identified bottleneck. …”
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Effect of adopting different dispatching rules on the mean flow time in a two machine batch-shop problem by Abdelraheem Elhaj, Hazir Farouk

“…This means that it is highly unlikely to find a polynomial algorithm to solve the problem. Therefore, researchers concentrated on developing branch-and-bound or heuristic algorithms. …”
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Optimal Power Flow Solution With Stochastic Renewable Energies Using Nature Inspired Algorithm by Abdul Mu’iz Zulfadli, Ab Wahab

“…The use of the Moth Flame Optimization (MFO) algorithm to solve optimal power flow as an objective optimization problem in power system operation and control is described in this thesis. …”
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Application Of Higher Order Compact Finite Difference Methods To Problems In Fluid Dynamics by Yap, Wen Jiun

“…Second, the numerical algorithms are used to solve the quasi-one-dimensional subsonic-supersonic nozzle flow. …”
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A Comparison Between Levenberg-Marquardt (LM) Intelligent System And Bayesian Regularization (BR) Intelligent System For Flow Regime Classification by Sa'ad, Mohamad Iqbal

“…ECT measured the different capacitance value of fluid and produced the data for the classification problem. Multilayed Perceptron (MLP), a type of artificial neural network (ANN) which is widely used in a classification problem is developed using MATLAB 7®. …”
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Application of artificial immune system for solving load flow problem / Niz Izuwan Sanip by Sanip, Niz Izuwan

“…The simulation results reveal that the developed algorithm could provide an alternative to solve the load- flow problem. …”
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Solving load flow solution using evolutionary programming method / Nurul-Huda Ismail by Ismail, Nurul-Huda

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Multilevel optimization for dense motion estimation by Saaban, Azizan, Kalmoun, El Mostafa, Ibrahim, Haslinda, Ramli, Razamin, Omar, Zurni

“…Experimental results on three image sequences using four models of optical flow with different computational efforts show that the FMG/Opt algorithm outperforms significantly both the TN and MR/Opt algorithms in terms of the computational work and the quality of the optical flow estimation.…”
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A novel quasi-oppositional modified Jaya algorithm for multi-objective optimal power flow solution by Warid, Warid, Hizam, Hashim, Mariun, Norman, Abdul Wahab, Noor Izzri

“…This study introduces a novel meta-heuristic optimization algorithm known as quasi-oppositional modified Jaya (QOMJaya) to solve different multi-objective optimal power flow (MOOPF) problems. …”
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A memory-guided Jaya algorithm to solve multi-objective optimal power flow integrating renewable energy sources by Ahmadipour M., Ali Z., Ramachandaramurthy V.K., Ridha H.M.

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Solution of Navier-Stokes equations by fourth-order compact schemes and AUSM flux splitting by Mawlood M.K., Basri S., Asrar W., Omar A.A., Mokhtar A.S., Ahmad M.M.H.M.

“…Purpose - To develop a high-order compact finite-difference method for solving flow problems containing shock waves. …”

Analytical approach to unidirectional flow of non-Newtonian fluids of differential type by Abdulhameed, Mohammed

“…For a capillary tube, two flow problems of the second-grade fluid were developed. …”
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Optimal operation and control of hybrid power systems with stochastic renewables and FACTS devices: An intelligent multi-objective optimization approach by Premkumar M., Hashim T.J.T., Ravichandran S., Sin T.C., Chandran R., Alsoud A.R., Jangir P.

“…The application of the recently developed flow direction algorithm, including its multi-objective variant with an �-based constraint-handling mechanism to OPF problem is the primary contributions of this work. …”

Algorithmic approaches in model selection of the air passengers flows data by Ismail, Suzilah, Yusof, Norhayati, Tuan Muda, Tuan Zalizam

“…Algorithm is an important element in any problem solving situation.In statistical modelling strategy, the algorithm provides a step by step process in model building, model testing, choosing the ‘best’ model and even forecasting using the chosen model.Tacit knowledge has contributed to the existence of a huge variability in manual modelling process especially between expert and non-expert modellers.Many algorithms (automated model selection) have been developed to bridge the gap either through single or multiple equation modelling.This study aims to evaluate the forecasting performances of several selected algorithms on air passengers flow data based on Root Mean Square Error (RMSE) and Geometric Root Mean Square Error (GRMSE).The findings show that multiple models selection performed well in one and two step-ahead forecast but was outperformed by single model in three step-ahead forecasts.…”
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Fair Traffic Scheduling and Shaping Algorithms for Diffserv Networks by Mohamed, Mohamed Awad Elshaikh

“…The interaction of different traffic type flows in a DiffServ networks using the proposed integration model between FWFQ and the dual token bucket shaper algorithm is analyzed. …”
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