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  1. 1
    CFD-based optimization of base pressure behavior on suddenly expanded flows at supersonic Mach numbers

    CFD-based optimization of base pressure behavior on suddenly expanded flows at supersonic Mach numbers by Jaimon, Dennis Quadros, Khan, Sher Afghan, Prashanth, T.

    Published 2022
    “…Furthermore, to assess the right range of conditions for maximizing base pressure, the genetic algorithm (GA), desirability function approach (DFA), and particle swarm optimization (PSO) techniques were implemented. …”
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  2. 2
    Algorithm development for optimization of a refrigeration system

    Algorithm development for optimization of a refrigeration system by Izzat, Mohamad Adnan

    Published 2010
    “…This thesis deals with algorithm development for optimization of a refrigeration system. …”
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  3. 3
    Metaheuristic Algorithm for Wellbore Trajectory Optimization

    Metaheuristic Algorithm for Wellbore Trajectory Optimization by Biswas, K., Vasant, P.M., Vintaned, J.A.G., Watada, J.

    Published 2019
    “…In drilling engineering, the optimization of wellbore plays an important role, which can be optimized based on minimization of length, mud pressure, critical pressure, etc. …”
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  4. 4
    Base pressure control through micro jets at supersonic Mach numbers using experimental and machine learning approach

    Base pressure control through micro jets at supersonic Mach numbers using experimental and machine learning approach by Aabid, Abdul, Khan, Sher Afghan, Yasir, Javed

    Published 2026
    “…Furthermore, machine learning (ML) algorithms were utilized to predict base pressure outcomes and optimize control strategies. …”
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  5. 5
    Numerical simulation of fluid flow in three dimensional domain based on two stage pressure-velocity correction method

    Numerical simulation of fluid flow in three dimensional domain based on two stage pressure-velocity correction method by Sabir, O., Ya, T.M.Y.S.T.

    Published 2015
    “…In this paper a two stage pressure-velocity correction approach for immersed boundary method is proposed. …”
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  6. 6
    Numerical simulation of fluid flow in three dimensional domain based on two stage pressure-velocity correction method

    Numerical simulation of fluid flow in three dimensional domain based on two stage pressure-velocity correction method by Sabir, O., Ya, T.M.Y.S.T.

    Published 2015
    “…In this paper a two stage pressure-velocity correction approach for immersed boundary method is proposed. …”
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  7. 7
    High Pressure Co2 Separation Using Membranes Membrane Selection and Process Modeling

    High Pressure Co2 Separation Using Membranes Membrane Selection and Process Modeling by Adewole, Jimoh Kayode Adewole

    Published 2015
    “…The optimization for membrane selection was achieved using a multi-objective optimization method while that of module operating conditions was achieved using non-linear programming constraint optimization model and a Golden search algorithm which was implemented using MATLAB. …”
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  8. 8
    Machine learning methods for herschel-bulkley fluids in annulus: Pressure drop predictions and algorithm performance evaluation

    Machine learning methods for herschel-bulkley fluids in annulus: Pressure drop predictions and algorithm performance evaluation by Kumar, A., Ridha, S., Ganet, T., Vasant, P., Ilyas, S.U.

    Published 2020
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  9. 9
    Development of cost reduction mathematical model for natural gas transmission network system

    Development of cost reduction mathematical model for natural gas transmission network system by Mehrdad, Nikbakht Eliaderany

    Published 2012
    “…Therefore, the data clearly exhibit that the proposed method provides a solution that was nearer to an optimized network.…”
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  10. 10
    Particle swarm optimization algorithm to enhance the roughness of thin film in tin coatings

    Particle swarm optimization algorithm to enhance the roughness of thin film in tin coatings by Jamil Alsayaydeh, Jamil Abedalrahim, Zainon, Maslan, Mohammad Alshannaq, Osama Saleh, Hammouda, Montaser B A, Ali, Mohanad Faeq, Alkhashaab, Mohammed Abdul Razaq, Mohamad Jaya, Abdul Syukor

    Published 2022
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  11. 11
    Thin Film Roughness Optimization In The Tin Coatings Using Genetic Algorithms

    Thin Film Roughness Optimization In The Tin Coatings Using Genetic Algorithms by Fauzi, Nur Faiqah, Mohamad Jaya, Abdul Syukor, Mohammad Jarrah, Mu’ath Ibrahim, Akbar, Habibullah

    Published 2017
    “…In order to represent the process variables and coating roughness, a quadratic polynomial model equation was developed. Genetic algorithms were used in the optimization work of the coating process to optimize the coating roughness parameters. …”
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  12. 12
    Improvement and application of particle swarm optimization algorithm

    Improvement and application of particle swarm optimization algorithm by Deevi, Durga Praveen, Kodadi, Sharadha, Allur, Naga Sushma, Dondapati, Koteswararao, Chetlapalli, Himabindu, Perumal, Thinagaran

    Published 2025
    “…Finally, real-world tests are performed to verify the proposed Algorithm's efficacy compared to existing optimization methods. …”
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  13. 13
    PID Tuning Of Process Plant Using Evolutionary Algorithm

    PID Tuning Of Process Plant Using Evolutionary Algorithm by Guong, Robert Ling Leh

    Published 2014
    “…In this project, Evolutionary algorithm (Particle Swarm Optimization) is implemented to optimize the controller parameters in order to improve the system performance of the real pressure plant. …”
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  14. 14
    Intelligence Integration Of Particle Swarm Optimization And Physical Vapour Deposition For Tin Grain Size Coating Process Parameters

    Intelligence Integration Of Particle Swarm Optimization And Physical Vapour Deposition For Tin Grain Size Coating Process Parameters by Abdul Syukor, Mohamad Jaya, Mu*ath Ibrahim, Mohammad Jarrah, Mohd Asyadi Azam, Mohd Abid, Mohd Razali, Muhamad

    Published 2016
    “…Optimization of thin film coating parameters is important in identifying the required output.Two main issues of the process of physical vapor deposition (PVD) are manufacturing costs and customization of cutting tool properties.The aim of this study is to identify optimal PVD coating process parameters.Three process parameters were selected,namely nitrogen gas pressure (N2),argon gas pressure (Ar),and Turntable Speed (TT),while thin film grain size of titanium nitrite (TiN) was selected as an output response.Coating grain size was characterized using Atomic Force Microscopy (AFM) equipment.In this paper,to obtain a proper output result,an approach in modeling surface grain size of Titanium Nitrite (TiN)coating using Response Surface Method (RSM) has been implemented. …”
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  15. 15
    Thermal and hydraulic impacts consideration in refinery crude preheat train cleaning scheduling using recent stochastic optimization methods

    Thermal and hydraulic impacts consideration in refinery crude preheat train cleaning scheduling using recent stochastic optimization methods by Biyanto, T.R., Ramasamy, M., Jameran, A.B., Fibrianto, H.Y.

    Published 2016
    “…The objective of this study was to develop a realistic cleaning schedule optimization problem. An improved optimization problem for the cleaning schedule of the heat exchangers in the CPT was developed which takes into account the hydraulic impact of fouling through the additional pressure drops. …”
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  16. 16
    SEQUENTIAL MODELLING & OPTIMIZATION OF AMMONIA REACTOR

    SEQUENTIAL MODELLING & OPTIMIZATION OF AMMONIA REACTOR by S., Yusup, Yusoff, Nooryusmiza, H., Zabiri, Shahirah, Ansary

    Published 2005
    “…This paper highlights the development of profiles at different top temperatures from 600K to 800K and comparison of the sequential optimization approach with others researchers’ approach such as Potrygin maximum principle, Lasdon’s generalized reduced gradient method, generic algorithm and differential. …”
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  17. 17
    Modeling And Optimization Of Physical Vapour Deposition Coating Process Parameters For Tin Grain Size Using Combined Genetic Algorithms With Response Surface Methodology

    Modeling And Optimization Of Physical Vapour Deposition Coating Process Parameters For Tin Grain Size Using Combined Genetic Algorithms With Response Surface Methodology by Mohamad Jaya, Abdul Syukor, Muhamad, Mohd Razali, Abd Rahman, Md Nizam, Mohammad Jarrah, Mu'ath Ibrahim, Hasan Basari, Abd Samad

    Published 2015
    “…Optimization of thin film coating parameters is important in identifying the required output.Two main issues of the process of physical vapor deposition (PVD) are manufacturing costs and customization of cutting tool properties.The aim of this study is to identify optimal PVD coating process parameters.Three process parameters were selected, namely nitrogen gas pressure (N2),argon gas pressure (Ar),and Turntable Speed (TT),while thin film grain size of titanium nitrite (TiN) was selected as an output response.Coating grain size was characterized using Atomic Force Microscopy (AFM) equipment.In this paper,to obtain a proper output result,an approach in modeling surface grain size of Titanium Nitrite (TiN)coating using Response Surface Method (RSM) has been implemented. …”
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  18. 18
    Modelling and calibration of high-pressure direct injection compressed natural gas engine

    Modelling and calibration of high-pressure direct injection compressed natural gas engine by Mohd Fadzil, Abdul Rahim

    Published 2021
    “…It also affected the engine response, especially the maximum engine rotational speed, due to the delay in the fuel delivery. The optimization results suggested the use of the speed-sweep test method is sufficient for calibration purposes with reduced test-point. …”
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  19. 19
    Multivariate Based Analysis of Methane Adsorption Correlated to Toc and Mineralogy Impact from Different Shale Fabrics

    Multivariate Based Analysis of Methane Adsorption Correlated to Toc and Mineralogy Impact from Different Shale Fabrics by Irfan, S.A., Azli, N.M., Abdulkareem, F.A., Padmanabhan, E.

    Published 2021
    “…The SVR methods utilize the iteration approach to sequential minimal optimization. …”
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  20. 20
    Sensitivity analysis and optimization of a cardiovascular lumped parameter model for patient-specific modelling

    Sensitivity analysis and optimization of a cardiovascular lumped parameter model for patient-specific modelling by Siti Munirah, Muhammad Ali, El-Bouri, Wahbi, Wan Naimah, Wan Ab Naim, Mohd Jamil, Mohamed Mokhtarudin

    Published 2025
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