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81
Physical optimization algorithms for mapping data to distributed-memory multiprocessors
Published 1992“…The performances of the three physical optimization algorithms are evaluated and compared, among themselves and with previous good algorithms, for a variety of test cases. …”
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masterThesis -
82
A Scatter search algorithm for exam scheduling. (c2006)
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masterThesis -
83
Economic load dispatch using memetic sine cosine algorithm
Published 2022“…The results show that the performance of the SCA-βHC algorithm is increased by tuning its parameters in proper value. …”
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84
DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data
Published 2022“…Traditional centralized clustering algorithms target those objects that are located in the same site, whereas it cannot perform on distributed objects. …”
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masterThesis -
85
An ant colony optimization algorithm to improve software quality prediction models
Published 2011“…Results Results show that our approach out-performs the machine learning algorithm C4.5 as well as random guessing. …”
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86
A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems
Published 2024“…The performance of the HES-IG algorithm is calibrated with other algorithms using the Wilcoxon signed test. …”
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87
A deterministic heuristic algorithm for optimal multiprocessor scheduling. (c1995)
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masterThesis -
88
Convergence and steady-state analysis of the normalized least mean fourth algorithm
Published 2007“…Simulation results obtained in a system identification scenario confirms the theoretical predictions on performance of the NLMF algorithm.…”
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89
Convergence and steady-state analysis of the normalized least mean fourth algorithm
Published 2007“…Simulation results obtained in a system identification scenario confirms the theoretical predictions on performance of the NLMF algorithm.…”
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90
Using Machine Learning Algorithms to Forecast Solar Energy Power Output
Published 2025“…The factors influencing solar energy power generation include geographic location, solar radiation, weather conditions, and solar panel performance. Solar energy forecasting is performed using machine learning for better accuracy and performance. …”
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91
On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise
Published 2005“…This class of ILC algorithms have been proposed aiming at improving the learning efficiency and performance. …”
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conferenceObject -
92
A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems
Published 2021“…These SI-based algorithms follow the social and interactive principles to perform their search process while approximating solution for the given problems. …”
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93
A comparison of data mapping algorithms for parallel iterative PDE solvers
Published 1995“…We review and evaluate the performances of six data mapping algorithms used for parallel single-phase iterative PDE solvers with irregular 2-dimensional meshes on multicomputers. …”
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94
Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
Published 2022“…A precise prediction of blueberry harvest losses is necessary to mitigate such losses. The performance of three machine learning (ML) algorithms was assessed to predict the wild blueberry harvest losses on the ground. …”
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95
A parallel tabu search algorithm for VLSI standard-cell placement
Published 2000“…In this work, tabu search placement algorithm is parallelized on a network of workstations using PVM. …”
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96
Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms
Published 2001“…In this paper a novel approach for the implementation of nonlinear MPC is proposed using genetic algorithms (GAs). The proposed method formulates the MPC as an optimization problem and genetic algorithms are used in the optimization process. …”
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97
A parallel genetic algorithm for the geometrically constrained site layout problem
Published 2018“…The algorithm is tested on a variety of layout problems to illustrate its performance and many favorable results are reported.…”
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conferenceObject -
98
Efficient O(n) BIST algorithms for DDNPS faults in dual portmemories
Published 2020“…Architectural modifications which enhance testability with minimal overhead on both silicon area and device performance are described. New fault models for both the memory array and the address decoders are proposed and efficient O(n) test algorithms are presented. …”
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99
A modified ant colony algorithm for evolutionary design of digital circuits
Published 2003“…In this paper, a multiobjective optimization of logic circuits based on a modified ant colony (ACO) algorithm is presented. The performance of the proposed algorithm is evaluated using a set of randomly generated circuits. …”
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100
Simulated annealing and improved genetic algorithms for path testing. (c1997)
Published 1997Get full text
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masterThesis
