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81
Allocating data to distributed-memory multiprocessors by genetic algorithms
Published 2016“…These are a sequential hybrid GA, a coarse-grain GA and a fine-grain GA. The last two are based on models of natural evolution that are suitable for parallel implementation; they have been implemented on a hypercube and a Connection Machine. …”
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82
A hybrid graph representation for exact graph algorithms
Published 2014“…We investigate practical implementation-based aspects of exact graph algorithms by providing a simple hybrid graph representation that trades space for time to address the said take-back challenge. …”
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conferenceObject -
83
A new genetic algorithm approach for unit commitment
Published 1997“…In the proposed algorithm, coding the solution of the unit commitment problem is based on mixing binary and decimal representations. …”
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84
A hybrid graph representation for recursive backtracking algorithms
Published 2017“…In this paper, we investigate practical implementation-based aspects of exact algorithms by providing a hybrid graph representation that addresses the take-back challenge and combines the advantage of O(1)O(1) adjacency-queries in adjacency-matrices with the advantage of efficient neighborhood traversal in adjacency-lists.…”
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conferenceObject -
85
Intelligent Rapidly-Exploring Random Tree Star Algorithm
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doctoralThesis -
86
HARDWARE DESIGN AND VLSI IMPLEMENTATION OF A BYTE-WISE CRC GENERATOR CHIP
Published 2020“…The algorithm is based on the work presented in [10] in which a software implementation was proposed. …”
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87
Adaptive Chip-Level Channel Estimation for IMT-DS System: DL and UL
Published 2005“…In this paper, chip-level adaptive channel estimation has been explored by using LMS algorithm for wideband CDMA channel estimation. …”
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88
Parallel scatter search algorithms for exam timetabling. (c2009)
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masterThesis -
89
Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
Published 2016Get full text
doctoralThesis -
90
Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach
Published 2006“…The algorithm is tested using 200 randomly generated 2-variable 4-valued functions. …”
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91
A Parallel Neural Networks Algorithm for the Clique Partitioning Problem
Published 2002“…A parallel simulator, based on PVM, was implemented for the proposed algorithm on a Linux Cluster. …”
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92
An incremental approach for test scheduling and synthesis using genetic algorithms
Published 2017“…This method maximizes concurrent testing of modules while performing the allocation of functional units, test registers, and multiplexers. The method is based on a genetic algorithm that efficiently explores the testable design space. …”
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conferenceObject -
93
A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem
Published 2020“…This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods to solve the unit commitment problem. …”
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94
A simulated annealing algorithm for fuzzy unit commitment problem
Published 1999“…This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods to solve the unit commitment problem. …”
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95
A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units
Published 2020“…A new heuristic algorithm based on the Tabu search has been proposed for the maintenance schedule (MS) of electric generation units. …”
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96
A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units
Published 2020“…A new heuristic algorithm based on the Tabu search has been proposed for the maintenance schedule (MS) of electric generation units. …”
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97
Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
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doctoralThesis -
98
Decision-level fusion for single-view gait recognition with various carrying and clothing conditions
Published 2017“…Gait samples are fed into the MPCA and MPCALDA algorithms using a novel tensor-based form of the gait images. …”
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99
Real-Time Implementation of GPS Aided Low Cost Strapdown Inertial Navigation System
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doctoralThesis -
100
Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain
Published 2021“…The objective is to minimize different cost types while satisfying constraints such as resources availability, customer service level, and tasks dependency relation. The algorithm proved its effectiveness by allocating tasks with higher priority and weight while taking into consideration customers’ Service Level Agreement, time, and different types of costs, which led to a lower total cost of the batching process. …”
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