Search Results - (( linear interpolation using algorithm ) OR ( based optimization method algorithm ))

A Novel Algorithm for Automated Model Generation of Analog Circuits Using Chebyshev-Newton Interpolation by Xia, Likun, Farooq, Umer, Hussin, Fawnizu Azmadi, Malik, Aamir Saeed

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A Novel Algorithm for Automated Model Generation of Analog Circuits Using Chebyshev-Newton Interpolation by Xia, Likun, Hussin, Fawnizu Azmadi, Malik, Aamir Saeed

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A hermite interpolated LUT for RF power amplifiers by Selvadurai, Dinaagaren, Mohd Sidek, Roslina, Al-Hussaini, Khalid Taher Mohammed, Mohd Ali, Borhanuddin

“…The algorithm employs the hermite interpolation LUT, which has a higher accuracy of interpolation. …”
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Inversion of 2D and 3D DC resistivity imaging data for high contrast geophysical regions using artificial neural networks / Ahmad Neyamadpour by Neyamadpour, Ahmad

“…By comparing the common non-linear least square inversion methods (i.e., the steepest descent method, the nonlinear conjugate gradients method, Newton-type methods and smoothness-constrained least squares methods), the L1_ norm smoothness-constrained optimization method (or robust inversion technique) has been recognized as the most efficient of the least squares methods mentioned here, because it sometimes gives relatively better results in high resistivity zones with sharp boundaries. …”
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STEP-NC Interpolator for General 2D and 3D Parametric Curve / Dzullijah Ibrahim...[et al.] by Ibrahim, Dzullijah, Yaakob, Yusli, Hussin, Norasikin, Samad, Zahurin

“…A STEP-NC interface to OAPC-NC interpolator using STEP-NC tool path data is proposed and developed. …”
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Solving fractional differential equations using fractional explicit method by Yip, Lian Yiung, Zanariah Abdul Majid

“…This research is focusing in solving the fractional differential equations (FDEs) for linear and non-linear type using fractional explicit method (FEM) with constant step-size. …”
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Solving fractional differential equations using fractional explicit method by Yiung, Yip Lian, Abdul Majid, Zanariah

“…This research is focusing in solving the fractional differential equations (FDEs) for linear and non-linear type using fractional explicit method (FEM) with constant step-size. …”
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High Level Fault Modeling of Analog Circuits Through Automated Model Generation Using Chebyshev And Newton Interpolating Polynomials by Xia, Likun, Farooq, Muhammad Umer, Bell, Ian

“…This is still the most critical issue that industry is facing in reducing analog testing cost. We present a novel algorithm using a fusion of Chebyshev and Newton interpolating polynomials (CNIP) in nonlinear state-space (ss) termed AMG-CNIP for HLFM in analog circuits. …”
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An improved method using fuzzy system based on hybrid boahs for phishing attack detection by Noor Syahirah, Nordin

“…Moreover, Butterfly Optimization Algorithm and Harmony Search Algorithm were combined as optimization method led to a new method named BOAHS. …”
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Multistep block methods for solving higher order delay differential equations by Hoo, Yann Seong

“…The delay term in DDEs with constant delays is approximated using Hermite interpolation. Linear and Hermite interpolators are used to approximate the delay terms in DDEs of pantograph type. …”
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Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation by Khan, Abdullah

“…Therefore, the SMA method is redesigned for optimal location and sizing based on the total active power loss of the systems. …”
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Sizing optimization of large-scale grid connected photovoltaic system using dolphin echolocation algorithm / Muhammad Zakyizzuddin Rosselan by Rosselan, Muhammad Zakyizzuddin

“…Later, an Iterative-based Sizing Algorithm (ISA) was developed to determine the optimal sizing solution which was later used as benchmark for sizing algorithms using optimization methods. …”
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The development of spatio-temporal data model for dynamic visualization of virtual geographical information system by Mohd. Rahim, Mohd. Shafry, Daman, Daut

“…Result shows that the proposed data model is able to perform well with a visualization algorithm using linear interpolation and an improved TIN structure. …”
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Opposition-based Whale Optimization Algorithm by Alamri, Hammoudeh S., Alsariera, Yazan A., Kamal Z., Zamli

“…The OWOA use the Opposition-based method to enhance Whale Optimization Algorithm (WOA) performance. …”
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A firefly algorithm based hybrid method for structural topology optimization by Gebremedhen, H.S., Woldemichael, D.E., Hashim, F.M.

“…In this paper, a firefly algorithm based hybrid algorithm through retaining global convergence of firefly algorithm and ability to generate connected topologies of optimality criteria (OC) method is proposed as an alternative method to solve stress-based topology optimization problems. …”
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VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern by Angeline Teoh, Szu Fern

“…GA is a widely used optimization algorithm based on the concept of survival of the fittest. …”
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Firefly algorithm for optimal sizing of Standalone Photovoltaic System / Nurizzati Abdul Aziz by Abdul Aziz, Nurizzati

“…Therefore, optimization methods are often used in the sizing algorithms for such systems. …”
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Firefly algorithm for optimal sizing of stand-alone photovoltaic system / Nur Izzati Abdul Aziz by Abdul Aziz, Nur Izzati

“…Therefore, optimization methods are often used in the sizing algorithms for such systems. …”
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Application of swarm intelligence optimization on bio-process problems / Mohamad Zihin Mohd Zain by Mohamad Zihin , Mohd Zain

“…BSA gave the best overall performance by showing improved solutions and more robust convergence in comparison with various metaheuristics used in this work. Multi-objective optimization problems are also addressed by proposing a modified multi-criterion optimization algorithm based on a Pareto-based Particle Swarm Optimization (PSO) algorithm called Multi-Objective Particle Swarm Optimization (MOPSO). …”
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Image Fusion for Travel Time Tomography Inversion by Liu, L., Zhao, X., Yin, X., Ashraf, M.A.

“…Therefore, the ill-conditioned linear equations were changed into iterative normal system through two times of treatment and using images with different forward algorithms for image fusion, it reduced the influence effect of measurement error on imaging. …”
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