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61
Algorithmic Study of Online Multi-Facility Location Problems
Published 2022“…We propose the first online algorithms for these variants and measure their performance using the standard notion of competitive analysis. …”
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62
Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
Published 2023“…Additionally, our proposed model optimizes the features using a genetic algorithm. Optimal feature selection performances a crucial role in this domain, enhancing the overall accuracy of the document classification system while reducing the time complexity associated with selecting the most relevant features from this large-dimensional space. …”
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63
Bee colony algorithm for assigning proctors to exams. (c2013)
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masterThesis -
64
Performance Prediction Using Classification
Published 2019“…A comprehensive evaluation requires that multiple models with different algorithms were analyzed using key performance measures. …”
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65
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66
Multiclass feature selection with metaheuristic optimization algorithms: a review
Published 2022“…Selecting relevant feature subsets is vital in machine learning, and multiclass feature selection is harder to perform since most classifications are binary. The feature selection problem aims at reducing the feature set dimension while maintaining the performance model accuracy. …”
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67
Application of particle swarm optimization algorithm to multiuser detection in CDMA
Published 2005“…We evaluate the BER performance of the proposed algorithm, by means of Monte Carlo simulation technique, and compare it to the BER performances of both the matched filter detector and the decorrelator multiuser detectors. …”
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68
Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
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doctoralThesis -
69
Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning
Published 2003“…A series of experiments are performed to evaluate the efficiency of the algorithm. …”
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70
Parallel physical optimization algorithms for allocating data to multicomputer nodes
Published 1994“…The performances of these algorithms are evaluated and compared. …”
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71
Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
Published 2024“…This work aims to enhance the performance of the K-means algorithm by introducing a novel method for selecting the initial centroids, thereby minimizing randomness and reducing the number of iterations needed to reach optimal results. …”
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masterThesis -
72
An incremental approach for test scheduling and synthesis using genetic algorithms
Published 2017“…The method is based on a genetic algorithm that efficiently explores the testable design space. …”
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conferenceObject -
73
Combining and adapting software quality predictive models by genetic algorithms
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conferenceObject -
74
A Tabu Search-Based Algorithm For The Fuzzy Clustering Problem
Published 2020“…In this paper, we propose a new approach to this problem which is based on tabu search technique, and aims at finding a global solution of FCP. We compare the performance of the algorithm with the fuzzy Cmeans algorithm.…”
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75
Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms
Published 2007“…The method maximizes concurrent testing of modules while performing the allocation of functional units, test registers, and interconnects. …”
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76
New fault models and efficient BIST algorithms for dual-portmemories
Published 1997“…These modifications allow multiple access of memory cells for increased test speed with minimal overhead on both silicon area and device performance. New fault models are proposed, and efficient O(n) test algorithms are described for both the memory array and the address decoders. …”
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77
A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units
Published 2020“…Each of the above criteria is used with the following constraints: maintenance completion, crew size, precedence, reserve and reserve constants. The performance of the Tabu search algorithm is promising. …”
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78
An improved HIC using a new ordering and grouping algorithm
Published 2003“…For this reason, we propose a new ordering and grouping algorithm that yields a tight upper bound, which, in turn, results in a higher convergence speed. …”
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79
A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units
Published 2020“…Each of the above criteria is used with the following constraints: maintenance completion, crew size, precedence, reserve and reserve constants. The performance of the Tabu search algorithm is promising. …”
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80
A Survey of cuckoo search algorithm: optimizer and new applications
Published 2024“…Early studies reveal that the algorithm is viable and can exceed existing methods in performance. …”
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