Search Results - (( using optimization method algorithm ) OR ( linear iteration method algorithm ))
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Linear optimization method by using a new iterative algorithm for available transfer capability (ATC)
Published 2009“…Most studies involved load flow based and contingencies that often can be performed in reasonable time with the use of linear methods. This paper presents a simple and accurate method for calculating ATC with a linear optimization method. …”
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Comparison Between Linear Programming And Integer Linear Programming: A Review
Published 2018“…Heuristics are not guaranteed to obtain optimal solutions, compared to exact algorithms.…”
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SINR improvement using Firefly Algorithm (FA) for Linear Constrained Minimum Variance (LCMV) beamforming technique
Published 2023“…Antennas; Arts computing; Beamforming; Bioluminescence; Energy efficiency; Fire protection; Image processing; Optimization; Signal interference; Signal to noise ratio; Beamforming technique; Business optimization; Firefly algorithms; Industrial optimization; Linear constrained minimum variances; Linearly constrained minimum variance; Meta heuristic algorithm; Signal to interference plus noise ratio; Iterative methods…”
Conference Paper -
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Development of optimization Alghorithm for uncertain non-linear dynamical system
Published 2004“…An algorithm that definitely can satisfy the objectives is the Dynamic Integrated Systems Optimization and Parameter Estimation (DISOPE) algorithm. …”
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Monograph -
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Optimizing the placement of fire department in Kulim using greedy heuristic and simplex method / Muhammad Abu Syah Mohd Suzaly
Published 2023“…The first method is greedy heuristic method. Greedy heuristics is a type of optimization algorithm that makes decisions based on locally optimal solutions. …”
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The efficiency of conjugate gradient methods with global convergence / Siti Nur Hafiza Shamsudin
Published 2019“…The global convergence result is established using exact line searches. Numerical result shows that algorithm 2 which is one of the proposed CG methods is more efficiency when compared to other algorithms.…”
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Linear array beampattern gain optimization techniques
Published 2023“…The work describes here uses optimization techniques to increase the gain of a uniform linear array's beampattern when some of its elements fails. …”
Conference paper -
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Use of the simplex method to optimize analytical condition in structural analysis
Published 2011“…The nonlinear behavior is approximated as a sequence of successively changing linear systems over a short time interval. Solution of nonlinear equations needs to iterative method such as Iterative algorithm. …”
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Modified Sumudu Transform Analytical Approximate Methods For Solving Boundary Value Problems
Published 2019“…In this algorithm, the convolution theorem has been used to find an optimal Lagrange multiplier.…”
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Modified Sumudu Transform Analytical Approximate Methods For Solving Boundary Value Problems
Published 2019“…In this algorithm, the convolution theorem has been used to find an optimal Lagrange multiplier.…”
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12
Hybrid firefly and particle swarm optimization algorithm for multi-objective optimal power flow with distributed generation
Published 2022“…A new meta-heuristic optimization technique called the Slime Mould Algorithm (SMA) approach has a high convergence rate or a few iterations and superior optimization indices analyzed against other algorithms. …”
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Partial Newton methods for a system of equations
Published 2013“…This approach is inspired by the Simplex Algorithm in Linear Programming. As expected the partial Newton iterations are found not to have the fast convergence properties of the full Newton method. …”
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Accelerated lambda iteration method for solving economic dispatch with transmission line losses / Zahier Fakhriy Sulaiman
Published 2018“…Result obtained using the proposed method for 40-unit test system is compared with Classical Lambda Iteration Method.…”
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Performance evaluation of smoothed functional algorithm based methods for sigmoid-PID control optimization in MIMO twin-rotor systems
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Application of Newton-Gauss-Seidel method for solving multi-objective constrained optimization problems
Published 2024“…The second stage is to use the NewtonGauss-Seidel (NGS) iterative method to solve the transformed constrained optimization problem. …”
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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 imaging algorithm was based on a non-linear optimization technique from which the single-step and iterative inversion schemes were realized. …”
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Logistic regression methods for classification of imbalanced data sets
Published 2012“…These results can be seen as further explanation on the success of Truncated Newton method in TR-KLR and TR Iteratively Re-weighted Least Square (TR-IRLS) algorithm respectively, because of the equivalence of iterative method used by these algorithms. …”
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Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS
Published 2017“…In this paper, heuristic optimization approaches such as genetic algorithm and artificial bee colony are used to optimize the parameters of the antecedent part of interval type-2 fuzzy logic systems. …”
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