Search Results - (conference OR difference) algorithm
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1
A Review on the Recent Application of Jaya Optimization Algorithm
Published 2019“…Jaya is a new metaheuristic that in recent years, has been applied to numerous intractable optimization problems. The important difference between Jaya and other optimization algorithms is that Jaya does not require the tuning of its parameters (a process needed in the other algorithms to escape unwanted convergence). …”
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2
Different Approaches of Evolutionary Algorithms to Multiple Objective RCPSP
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3
Hyperdize Jaya Algorithm for Harmony Search Algorithm's Parameters Selection
Published 2016“…To evaluate the performance of the amended algorithm, we have applied it on different bench-mark functions that shows its good performance, in terms of result accuracy in contrast with the original algorithm Harmony Search with less number of iterations, and when we compare it with two other well-known variants of HS.…”
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4
A Comparison of Particle Swarm optimization and Global African Buffalo Optimization
Published 2020“…The experimental results illustrated the differences in the performances of both algorithms toward the optimum solution. …”
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5
Analysis on 2D mapping for mobile robot on the sharp edges area
Published 2024“…Therefore, LiDAR self-motion distortion is a common challenge for different SLAM algorithms, especially in environments with sharp edges. …”
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6
Algorithm solution for space-fractional diffusion equations
Published 2020“…In this study, we propose approximate algorithm solution of the space-fractional diffusion equation (SFDE's) based on a quarter-sweep (QS) implicit finite difference approximation equation. …”
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7
An algorithm for the selection of planting lining technique towards optimizing land area: an algorithm for planting lining technique selection
Published 2012“…The three techniques with different planting lining direction lead to different number of trees, therefore the technique promotes the highest number of tree is optimal technique. …”
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8
Comparison of document similarity algorithms in extracting document keywords from an academic paper
Published 2021“…Then, different similarity calculation algorithms were employed in different settings on the documents such as using the whole texts of the documents, selecting the positive sentences of the documents, and generating similarity score with automatically extracted keywords from the documents. …”
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9
An Alternative Algorithm for Soft Set Parameter Selection using Special Order
Published 2015“…This paper proposed a parameter reduction algorithm, known as 3C algorithm, to circumvent the false frequent object in reduction. …”
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10
Adaptive sine-cosine algorithms for global optimization
Published 2018“…It also introduces a balance exploration and exploitation strategies. The proposed algorithms in comparison to the original algorithm are then tested with several test functions that have different properties and landscapes. …”
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11
Enhanced conjugate gradient methods for training MLP-networks
Published 2010“…The paper investigates seven different conjugate gradient algorithms proposed by different researchers from 1952-2005, the classical batch back propagation, full-memory and memory-less BFGS (Broyden, Fletcher, Goldfarb and Shanno) algorithms. …”
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12
XMCCTree: an algorithm for producing Mcctree in incompact structure
Published 2011“…The propose algorithm, namely XMCCTree, employs MCLCA notion with some modifications in order to provide more efficient algorithm.…”
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13
Integrating genetic algorithms and fuzzy c-means for anomaly detection
Published 2005“…Fuzzy c-Means allow objects to belong to several clusters simultaneously, with different degrees of membership. Genetic Algorithms (GA) to the problem of selection of optimized feature subsets to reduce the error caused by using land-selected features. …”
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14
Zebra optimization algorithm for feature selection
Published 2026“…This leads to increasing the classification accuracy on different datasets. This study highlights the capability of ZOA as an optimistic tool for feature selection in different real-world applications.…”
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15
Evaluation of fall detection classification approaches
Published 2012“…The aim of this paper is to investigate the performance of different classification algorithms for a set of recorded acceleration data. …”
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16
An experiment on the performance of shortest path algorithm
Published 2016“…The main objective of this paper is to study and experiment the different shortest path algorithm such as Dijkstra’s algorithm, Symmetrical Dijkstra’s algorithm, A* algorithm, Bellman-Ford algorithm, Floyd-Warshall algorithm and Genetic algorithm in solving the shortest path problem. …”
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17
RED, GRED, AGRED congestion control algorithms in heterogeneous traffic types
Published 2013“…There are several Active Queue Management algorithms(AQM) exist to deal with the congestion at the router buffer such as RED, DRED, BLUE, AGRED.This paper presents an analysis of RED, GRED and AGRED algorithms with three different Traffic distributions which are Exponential distribution, Geometrical distribution and ON-OFF model using simulation. …”
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18
Experimenting the dendrite cell algorithm for disease outbreak detection model
Published 2014“…Besides that, a comparison is made with Cumulative Sum, Exponentially-weighted Moving Average, and Multi Layer Perceptron.From the experiment, the best parameter setting for anthrax outbreak using dendrite cell algorithm is identified whereby it proven can helps the model to produce a good detection result between detection rate and false alarm rate.Since each outbreak disease carries different outbreak characteristic, the parameter setting for different outbreak might be different.…”
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19
Genetic Algorithm Performance with Different Selection Strategies in Solving TSP
Published 2011“…A genetic algorithm (GA) has several genetic operators that can be modified to improve the performance of particular implementations. …”
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20
Ensemble Dual Recursive Learning Algorithms for Identifying Custom Tanks Flow with Leakage
Published 2010“…Relative mass release of the leakage is introduced as the input for the simulation model and the data from the simulation model is taken at real time (on-line) to feed into the recursive algorithms. The objective of this paper is to introduce a combination of advantages of different algorithm scheme into one learning algorithm. …”
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