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Correlation Clustering with Overlaps
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A Tabu Search algorithm for mapping data to multicomputers. (c1997)
Published 1997Get full text
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masterThesis -
24
Evolutionary algorithm for protein structure prediction
Published 2010“…Predicting protein structures is computationally intractable. In this paper, we present an improved genetic algorithm (GA) for predicting 3D structures of proteins based on the hydrophobic polar model. …”
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25
Correlation Clustering via s-Club Cluster Edge Deletion
Published 2023“…The problem can be solved in time O(4k). We present a first fixed-parameter algorithm that breaks this 4k barrier by solving the problem in O(3.65k) time. …”
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masterThesis -
26
Improvement Algorithm for Limited Space Scheduling
Published 2001“…This paper addresses the combined problem termed “space scheduling” and presents an algorithmic time-space trade-off model for adjusting activity durations and start dates to decrease the need for space over congested time periods. …”
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An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling
Published 2016“…The work presented in thesis add to the existing literature in a proposing the use of a genetic algorithm uncertain approach to resource- scheduling in projects. …”
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29
An Ultrafast Maximum Power Point Setting Scheme for Photovoltaic Arrays Using Model Parameter Identification
Published 2015“…In order to separate the search algorithms from converter operation, a model parameter identification approach is presented to estimate insolation conditions of each PV panel and build a real-time overallP-Icurve of PV arrays. …”
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Metaheuristic Algorithm for State-Based Software Testing
Published 2018“…This article presents a metaheuristic algorithm for testing software, especially web applications, which can be modeled as a state transition diagram. …”
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Allocating data to distributed-memory multiprocessors by genetic algorithms
Published 2016“…We present three genetic algorithms (GAs) for allocating irregular data sets to multiprocessors. …”
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Formal synthesis of VLSI layouts from algorithmic specifications
Published 2020“…This formal high level syntesis system uses recursive algorithms to model the behaviour to be synthesized. …”
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A Genetic Algorithm For The Part Family Formation Problem
Published 2020“…Many researchers have tackled this problem and many algorithms have been proposed for it. In this paper, we present a genetic technique-based heuristic for the quadratic integer programming model of the part family formation problem which was formulated by Kusiak at al. (1986). …”
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Evolutionary algorithm for predicting all-atom protein structure
Published 2011“…We present an improved version of a scatter search (SS) algorithm for predicting all-atoms protein structures using a recent energy model. …”
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35
Capturing outline of fonts using genetic algorithm and splines
Published 2001“…Hence, it is very difficult to obtain a global optima. We present a method to convert the original problem into a discrete combinatorial optimization problem and solve it by a genetic algorithm. …”
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A neural networks algorithm for data path synthesis
Published 2003“…This paper presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …”
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An Algorithm For Computing The Distance Between Two Circular Disks
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Physical optimization algorithms for mapping data to distributed-memory multiprocessors
Published 1992“…We present three parallel physical optimization algorithms for mapping data to distributed-memory multiprocessors, concentrating on irregular loosely synchronous problems. …”
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masterThesis -
39
Natural optimization algorithms for the cross-dock door assignment problem
Published 2016“…The purpose of this paper is to present a novel algorithm that minimizes the traveling distance of the handling machines when moving cargo from an inbound truck to an outbound truck. …”
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A Parallel Neural Networks Algorithm for the Clique Partitioning Problem
Published 2002“…The clique partitioning problem has important applications in many areas including VLSI design automation, scheduling, and resources allocation. In this paper we present a parallel algorithm to solve the above problem for arbitrary graphs using a Hopfield Neural Network model of computation. …”
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