Search Results - adaptive _ differentials ((equation algorithm) OR (generation algorithm))

Adaptive step size of diagonally implicit block backward differentiation formulas for solving first and second order stiff ordinary differential equations with applications by Mohd Ijam, Hazizah

“…In this thesis, new classes of block methods based on backward differentiation formula (BDF) for solving first and second order stiff ordinary differential equations (ODEs) are developed. …”
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Multivalue-multistage method for second-order ODEs by Ismail, Siti Ainathon, Rabiei, Faranak

“…The aim of this paper is to generate the needed framework to develop order conditions for second-order Ordinary Differential Equations (ODEs) by class of multivalue-multistage Nystrom method. …”
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Adaptive hybrid reduced differential transform method in solving nonlinear schrodinger equations by Abdul Rahman Farhan Sabdin, Che Haziqah Che Hussin, Jumat Sulaiman, Arif Mandangan, Essam Roshdy El-Zahar

“…In this paper, piecewise-analytical and numerical solutions are obtained by a new adapted approach named the Adaptive Hybrid Reduced Differential Transform Method (AHRDTM). …”
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An adaptive algorithm for numerically solving fractional partial differential equations using Hermite wavelet artificial neural networks by Ali, Amina, Senu, Norazak, Wahi, Nadihah, Almakayeel, Naif, Ahmadian, Ali

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Three-point Block Algorithm For Approximating Duffing Type Differential Equations by Ahmad Fadly Nurullah Rasedee, Mohammad Hasan Abdul Sathar, Najwa Najib, Nurhidaya Mohamad Jan, Siti Nor Aini Mohd Aslam, Siti Munirah Mohd

Feedforward neural network for solving particular fractional differential equations by Admon, Mohd Rashid

“…Fractional differential equations (FDEs) model real-world phenomena capturing memory effects. …”
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One-step block methods for solving ordinary and delay differential equations by Mohd Radzi, Hazwani

“…This thesis describes the implementation of one step block methods of Runge-Kutta type for solving first order Ordinary Differential Equations (ODEs) and Delay Differential Equations (DDEs). …”
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Block multistep methods for solving first order retarded and neutral delay differential equations by Abdul Aziz, Nurul Huda

“…This thesis investigates the numerical solutions for solving first order retarded and neutral delay differential equations and its analysis in block multistep methods. …”
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Optimizing S-box generation based on the Adaptive Agent Heroes and Cowards Algorithm by Kamal Z., Zamli

“…This paper introduces a new variant of a metaheuristic algorithm based on Agent Heroes and Cowards Algorithm (AHC), called Adaptive Agent Heroes and Cowards Algorithm (AAHC). …”
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Wavelet neural networks based solutions for elliptic partial differential equations with improved butterfly optimization algorithm training by Lee, Sen Tan, Zainuddin, Zarita, Ong, Pauline

“…In this study, a machine learning approach based on the unsupervised version of wavelet neural networks (WNNs) is used to solve two-dimensional elliptic partial differential equations (PDEs). The design of the WNNs must be judiciously addressed, particularly, the adopted training algorithm, since it greatly influences the generalization performance and the convergence rate of WNNs. …”
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Applying Bipartite Network Approach To Scarce Data: Modeling Habitat Suitability Of A Marine Mammal Species by Liew, Chin Ying, Jane, Labadin, Wang, Yin Chai, Andrew, Alek Tuen, Cindy, Peter

“…Habitat suitability index, generated through implementation of an adapted web-based search algorithm, is produced and utilized for the ranking of these location nodes. …”
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Special protection and control scheme based on generation rescheduling using differential evolution and electromagnetism-like algorithm by Hadi, Mahmaad Khalid

“…This SPCS strategy, novel in the generation rescheduling application, is called as Differential Evolution with Adaptive Mutation (DEAM). …”
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Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh by Rawaa Dawoud Hassan, Al-Dabbagh

“…Differential evolution (DE) is a simple yet powerful evolutionary algorithm (EA). …”
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Multistep block methods for solving higher order delay differential equations by Hoo, Yann Seong

“…This thesis describes the development of numerical algorithms for solving higher order DDEs. One-point and two-point multistep block method based on the Adam-Bashforth- Moulton methods for solving higher ordinary differential equation are adapted to solve the higher order DDEs. …”
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Diagonally multistep block method for solving Volterra integro-differential equation with delay by Baharum, Nur Auni, Abdul Majid, Zanariah, Senu, Norazak, Rosali, Haliza

“…Volterra integro-differential equation with delay (VIDED) is solved using a diagonally multistep block method (DMB). …”
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Variable step size and order strategy for delay differential equations in PIE(CIE)s mode by Abdul Aziz, Nurul Huda, Abdul Majid, Zanariah

“…This article deals with the strategy of variable step size and variable order implementation that has been formulated for solving first order of delay differential equations. This strategy is adapted in PIE(CIE)s mode which is generally based on predictor-corrector scheme in multistep block method of order 4 to 9 with s is for convergence test. …”
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Broadening selection competitive constraint handling algorithm for faster convergence by Shaikh, T.A., Hussain, S.S., Tanweer, M.R., Hashmani, M.A.

“…In this study, the BSCCH algorithm has been coupled with Differential Evolution algorithm as a proof of concept because it is found to be an efficient algorithm in the literature for constrained optimization problems. …”
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A comparative study of evolutionary algorithms and adapting control parameters for estimating the parameters of a single-diode photovoltaic module's model by Muhsen D.H., Ghazali A.B., Khatib T., Abed I.A.

Chaotic self-adaptive interior search algorithm to solve combined economic emission dispatch problems with security constraints by Rajagopalan A., Kasinathan P., Nagarajan K., Ramachandaramurthy V.K., Sengoden V., Alavandar S.

A hybrid technique of deep learning neural networks with finite difference method for higher order fractional Volterra-Fredholm integro-differential equations with φ-Caputo operato... by Alsa’Di, Kawthar, Nik Long, Nik Mohd Asri

“…This paper deals with the theoretical and numerical aspects for higher order Volterra-Fredholm fractional integro-differential equations (VF-IDEs) under φ-Caputo operator. …”
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