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Hybrid conjugate gradient methods using strong Wolfe line search for Whale Optimization Algorithm / Wan Nur Athirah Wan Mohd Zakirudin
Published 2023“…The nonlinear conjugate gradient (CG) method recently is the most used iterative methods for solving optimizing problems because it requires less storage and easy for implementation. …”
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Bees algorithm enhanced with Nelder and Mead method for numerical function optimisation
Published 2019“…Over the years, this algorithm has been successfully applied to many optimisation problems. …”
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Article -
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Genetic Algorithms In Optimizing Membership Function For Fuzzy Logic Controller
Published 2010“…This study investigates the use of Genetic Algorithms (GA) to design and implement of Fuzzy Logic Controllers (FLC). …”
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4
Network reconfiguration and control for loss reduction using genetic algorithm
Published 2010“…Note that the 18-bus system is originally without any capacitor. Two selection methods that are used in Genetic Algorithm are the roulette wheel and tournament selections. …”
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5
Comparison of performances of Jaya Algorithm and Cuckoo Search algorithm using benchmark functions
Published 2022“…Metaheuristic algorithms have been used successfully for solving different optimization problems. …”
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Iterative And Single-Step Solutions Of Two Dimensional Time-Domain Inverse Scattering Problem Featuring Ultra Wide Band Sensors
Published 2010“…The direct and adjoint fields were calculated using the finite-difference time-domain (FDTD) method, implementing the Mur‘s and the perfectly matched layer (PML) absorbing boundary conditions. …”
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Comparison between Secant method, Newton method and Bisection method in solving nonlinear equation / Nurul Ashsyikin Yasir
Published 2021“…Numerical analyze is a field of mathematics and computer science that produces, analyses, and implements algorithms to solve the problems of continuous mathematics numerically. …”
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Identification of continuous-time model of hammerstein system using modified multi-verse optimizer
Published 2021“…Multi-Verse Optimizer (MVO) is one of the most recent robust nature-inspired metaheuristic algorithm. It has been successfully implemented and used in various areas such as machine learning applications, engineering applications, network applications, parameter control, and other similar applications to solve optimization problems. …”
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10
Harmony search-based robust optimal controller with prior defined structure
Published 2013“…In this approach, a combination of interacting two levels HS optimization algorithm is presented. In the first level, a new method for analytical formulation of integral square error cost function based on controller variables is elaborated for performance evaluation purposes by the proposed optimization algorithm. …”
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11
Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh
Published 2015“…ARDE algorithm makes use of JADE strategy and the MDE_pBX parameters adaptive schemes as frameworks. …”
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12
Global Algorithms for Nonlinear Discrete Optimization and Discrete-Valued Optimal Control Problems
Published 2009“…Furthermore, variable switching times are known to cause problems in the implementation of any numerical algorithm due to the variable location of discontinuities in the dynamics. …”
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13
Nomadic people optimizer (NPO) for large-scale optimization problems
Published 2019“…The final problem is the ability of the algorithm to solve large-scale problems, which mostly are the real world problems. …”
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Hybrid conjugate gradient using exact line search in photovoltaic system / Muhammad Ariiq Iqbaal Azizul Firdaus
Published 2025“…PRPLS, PRPLAMR and PRPRMIL successfully solved all 15 test functions while PRPHS solved 99.72% of the test functions. …”
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16
Combining Recursive Least Square and Principal Component Analysis for Assisted History Matching
Published 2014“…This project will study the applicability of the combined algorithm for history matching problem. The study conducted on PCA and RLS method shows high chances of success in applying these methods for history matching problem. …”
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Final Year Project -
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Design and implementation of multimedia digital matrix system
Published 2005“…The hybrid-reset algorithm is successfully solved the most well known problem of channel synchronization in data oversampling method. …”
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Parallel Implementation Of Field Visualizations With High Order Tetrahedral Finite Elements
Published 2013“…By using Red Partitioning of high order elements, the implemented algorithm successfully enables visualization of up to fourth order tetrahedra while using the same data structure for second order tetrahedra as available in ParaView. …”
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A new variant of black hole algorithm based on multi population and levy flight for clustering problem
Published 2020“…Meta-heuristic algorithm has been successfully implemented on data clustering problems seeking a near optimal solution in terms of quality of the resultant clusters. …”
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Solving Boundary Value Problems for Ordinary Differential Equations Using Direct Integration and Shooting Techniques
Published 1999“…In this thesis, an efficient algorithm and a code BVPDI is developed for solving Boundary Value Problems (BVPs) for Ordinary Differential Equations (ODEs). …”
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