Search Results - optimal search algorithm*
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1
Vibrant search mechanism for numerical optimization functions
Published 2018“…Recently, various variants of evolutionary algorithms have been offered to optimize the exploration and exploitation abilities of the search mechanism.Some of these variants still suffer from slow convergence rates around the optimal solution. …”
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2
A modified niching crow search approach to well placement optimization
Published 2021“…Again, the performance of the proposed technique is evaluated with well placement optimization problem and compared with particle swarm optimization (PSO), the Gravitational Search Algorithm (GSA), and the Crow search algorithm (CSA). …”
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3
Search engine optimization techniques for Malaysian university websites a comparative analysis on Google and Bing search engine
Published 2018“…However, how well Malaysian universities websites are optimized for other search engines is questionable particularly the critical differences between search engine ranking techniques and algorithms. …”
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4
Classification of heart disease with machine learning: a comparison of grid search, random search, and Bayesian Optimization
Published 2026“…This study systematically evaluates the effect of hyperparameter optimization on the performance of predictive models by comparing three main techniques: Grid Search, Random Search, and Bayesian Optimization. …”
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5
Rule-Based Multi-State Gravitational Search Algorithm for Discrete Optimization Problem
Published 2015“…Gravitational search algorithm swarm (GSA) is a metaheuristic optimization algorithm, which is based on the Newton's law of gravity and the law of motion, has been successfully applied to solve various optimization problems in real-value search space. …”
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6
A new inexact line search method for convex optimization problems
Published 2013“…In general one can say that line search procedure for the steplength and search direction are two important elements of a line search algorithm. …”
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7
A memory-based gravitational search algorithm for enhancing minimum variance distortionless response beamforming
Published 2023“…Algorithms; Artificial intelligence; Beamforming; Benchmarking; Heuristic algorithms; Iterative methods; Learning algorithms; Particle swarm optimization (PSO); Adaptive Beamforming; Gravitational search algorithm (GSA); Gravitational search algorithms; Heuristic optimization algorithms; Minimum variance distortionless response; Optimal trajectories; Optimization problems; Real-world optimization; Optimization…”
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8
A three-term conjugate gradient method with nonmonotone line search for unconstrained optimization
Published 2016“…The technique of nonmontone line search has received much attention in nonlinear optimization. …”
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9
Ringed seal search for global optimization via a sensitive search model / Younes Saadi
Published 2018“…This thesis proposes a nature-inspired metaheuristic algorithm for global optimization. The proposed algorithm, which is called Ringed Seal Search (RSS), is inspired from the movement of the animal ringed seal. …”
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10
Comparative analysis of line search methods in the Steepest Descent algorithm for unconstrained optimization problems / Ahmad Zikri Shukeri, Puteri Qurratu Ain Megat Sulzamzamendi and Suhaida Ibrahim
Published 2024“…This study focuses on "Comparative Analysis of Line Search Methods in SD Algorithm for Unconstrained Optimization Problems". …”
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11
An adaptive gravitational search algorithm for global optimization
Published 2023“…Gravitational Search Algorithm (GSA) is one of the relatively new population-based optimization algorithms. …”
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12
Search engine optimization algorithms for page ranking: comparative study
Published 2018“…Therefore, a new optimization technique to improve the existing search engine optimization in increasing the page ranking is needed. …”
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13
Optimization of modified Bouc–Wen model for magnetorheological damper using modified cuckoo search algorithm
Published 2021“…The final value of the fitness function and the iteration number it took to converge were used as the qualifying indicator to the proposed cuckoo search algorithm efficiency. A comparison was done against particle swarm optimization, genetic algorithm, and sine–cosine algorithm, where the modified cuckoo search algorithm showed the lowest root mean square error and fastest convergence rate among the three algorithms.…”
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14
A modified n-th section line search in conjugate gradient methods for solving unconstrained optimization / Muhammad Imza Fakhri Jinudin
Published 2018“…For unconstrained optimization, line search act as a pillar for solving optimization problems. …”
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15
Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data
Published 2023“…The literature contains various meta-heuristic algorithms with variable length searching. All of them enable searching in high dimensional problems. …”
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16
Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data
Published 2023“…The literature contains various meta-heuristic algorithms with variable length searching. All of them enable searching in high dimensional problems. …”
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17
Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data
Published 2023“…The literature contains various meta-heuristic algorithms with variable length searching. All of them enable searching in high dimensional problems. …”
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18
Cuckoo search algorithm as an optimizer for optimal reactive power dispatch problems
Published 2017“…This paper presents the application of Cuckoo Search Algorithm (CSA) in optimizing the control variables of power system operation in solving the optimal reactive power dispatch (ORPD) problem. …”
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Optimized processing of satellite signal via evolutionary search algorithm
Published 2000“…A combination of three methods, namely optimization, global random search and ambiguity function mapping has produced an efficient and robust mitigation technique. …”
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Optimizing B-tree search performance of big data sets / Mohsen Marjani
Published 2017“…This study proposes an optimized B-tree search method to improve the execution time of the search tasks and to optimize the performance of the B-tree search process. …”
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