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1
Graph-based conflict rectification using stroke gesture approach in timetabling system (CORECTS)
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2
Investigation And Development Of Flattening Algorithms For Curved Latent Fingerprint Images
Published 2015“…Boundary of interested area can be acquired using a predefined algorithm or define by user using interactive drawing. …”
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3
OPTIMAL DESIGN AND ANALYSIS OF A DC–DC SYNCHRONOUS CONVERTER USING GENETIC ALGORITHM AND SIMULATED ANNEALING
Published 2009“…Abstract This paper presents the application of Genetic Algorithm (GA) and Simulated Annealing (SA) techniques for optimal design and analysis of a DC–DC converter with synchronous rectification normally used in battery charge/discharge circuits in DC uninterruptible power supply systems. …”
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4
OPTIMAL DESIGN AND ANALYSIS OF A DC–DC SYNCHRONOUS CONVERTER USING GENETIC ALGORITHM AND SIMULATED ANNEALING
Published 2009“…This paper presents the application of Genetic Algorithm (GA) and Simulated Annealing (SA) techniques for optimal design and analysis of a DC–DC converter with synchronous rectification normally used in battery charge/discharge circuits in DC uninterruptible power supply systems. …”
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5
A firefly algorithm based hybrid method for structural topology optimization
Published 2020“…Since the direct application of the firefly algorithm cannot generate connected topologies, outputs from the firefly algorithm were used as an initial input material distribution for the OC method. …”
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6
Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…The proposed algorithm is used as a pre-processing method for data followed by Gustafson-Kessel (GK) algorithm to classify credit scoring data. …”
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7
Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019“…Lastly, in order to externally judge the validity of these types of clustering algorithms, there is a need for a method to correctly and efficiently evaluate their variant multiclass clustering results. …”
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8
Shooting method with root finding to solve boundary value problems / Aryani Rima Matakim
Published 2025“…In this study, the result of the shooting method combined with various root-finding algorithms such as the Bisection method, Secant method, Newton's method, Ridder's method, Halley’s method, Brent’s method, Modified Newton method and Improved Ostrowski’s method to solve BVPs is evaluated. …”
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9
A Practical Method for Camera Calibration in Stereo Vision Mobile Robot Navigation
Published 2012“…The algorithm uses Sum of Absolute Differences (SAD) which is developed using Matlab software.…”
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10
A Pixel to Pixel Correspondence and Region of Interest in Stereo Vision Application
Published 2012“…The algorithm uses Sum of Absolute Differences (SAD) which is developed using Matlab software. …”
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11
Clustering ensemble learning method based on incremental genetic algorithms
Published 2012“…In the first and second phases, a threshold fuzzy c-means clustering algorithm as a clusterer and a pattern ensemble learning method based on the incremental genetic-based algorithms are proposed respectively. …”
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12
Studying the Impact of Initialization for Population-Based Algorithms with Low-Discrepancy Sequences
Published 2021“…To solve different kinds of optimization challenges, meta-heuristic algorithms have been extensively used. Population initialization plays a prominent role in meta-heuristic algorithms for the problem of optimization. …”
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13
Simulation and design of A DC-DC synchronous converter by intelligent optimization techniques
Published 2010“…The design and analysis of the converter with the Genetic Algorithm are performed using software tools within the MATLAB/ SIMULINK environment. …”
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14
An Analysis Of Multiple Size Region Of Interest In Disparity Mapping For Stereo Vision Application
Published 2011“…The algorithm uses Sum of Absolute Differences (SAD) which is developed using Matlab software. …”
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15
Comparison between Newton’s Method and a new Scaling Newton Method / Ramizah Baharuddin
Published 2021“…Newton's Method also called the Newton-Raphson method is a recursive algorithm for approximating the root of a differentiable function. …”
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16
An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction
Published 2023“…Performance assessment demonstrates its superior approximation capability than the existing methods used for WNNs initialization.…”
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17
An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction
Published 2023“…Performance assessment demonstrates its superior approximation capability than the existing methods used for WNNs initialization.…”
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18
An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction
Published 2023“…Performance assessment demonstrates its superior approximation capability than the existing methods used for WNNs initialization.…”
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19
An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction
Published 2023“…Performance assessment demonstrates its superior approximation capability than the existing methods used for WNNs initialization.…”
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20
An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction
Published 2023“…Performance assessment demonstrates its superior approximation capability than the existing methods used for WNNs initialization.…”
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