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method algorithm » mould algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
element » elements (Expand Search)
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The buffered work-pool approach for search-tree based optimization algorithms
Published 2017“…This new trend has been motivated by hardness of approximation results that appeared in the last decade, and has taken a great boost by the emergence of parameterized complexity theory. Exact algorithms often follow the classical search-tree based recursive backtracking strategy. …”
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conferenceObject -
22
Multi-marker-LD based genetic algorithm for tag SNP selection
Published 2014“…The results indicate that the multi-marker linkage disequilibrium based genetic algorithm yields better prediction accuracy.…”
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23
Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study
Published 2021“…This study was performed using an in-house finite-element method contrast source inversion algorithm (FEM-CSI). …”
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24
A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008)
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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
Published 2022“…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. A novel MH optimization algorithm, called arithmetic optimization algorithm (AOA), was proposed to address complex optimization tasks. …”
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A utility-based algorithm for joint uplink/downlink scheduling in wireless cellular networks
Published 2012“…In this work, we propose a utility-based joint uplink/downlink scheduling algorithm suitable for wireless services involving pairwise communication among mobile users. …”
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Sample intelligence-based progressive hedging algorithms for the stochastic capacitated reliable facility location problem
Published 2024“…We present the effectiveness of the developed integrated approaches, Sampling Based Progressive Hedging Algorithm (SBPHA) and Discarding SBPHA (d-SBPHA), over the pure strategies (i.e. …”
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The Use of Microwave Tomography in Bone Healing Monitoring
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doctoralThesis -
30
Design of adaptive arrays based on element position perturbations
Published 1993“…The main advantage of using this technique over the other commonly used methods is that the amplitudes and phases of the array elements can be used mainly to steer the main beam towards the desired signal. …”
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31
Three-phase approach for curriculum-based course timetabling problem. (c2012)
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32
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Correlation Clustering via s-Club Cluster Edge Deletion
Published 2023“…In this work, we implement three approaches to tackle the 2-club clustering via edge deletion: a heuristic approach based on the influence of the edge to resolve maximum conflicts, a parameterized algorithm in which by deleting a maximum of k edges, the graph can be transformed into a 2-club cluster based on a branching algorithm, and the approach in Integer Linear Programming to find the optimized solution in an integer formulation. …”
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masterThesis -
34
Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure
Published 2014“…Multivariable structure of any fuzzy rule based system would add complexity when modeling the behavior of the system. …”
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conferenceObject -
35
Detection of statistically significant network changes in complex biological networks
Published 2017“…<h3>Background</h3><p dir="ltr">Biological networks contribute effectively to unveil the complex structure of molecular interactions and to discover driver genes especially in cancer context. …”
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Distributed DRL-Based Downlink Power Allocation for Hybrid RF/VLC Networks
Published 2021“…Additionally, we quantify the performance of the DDPG-based algorithm to prevail amid DRL-based algorithms at the expense of higher implementation complexity.…”
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Nonlinear analysis of shell structures using image processing and machine learning
Published 2023“…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …”
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Automatic Video Summarization Using HEVC and CNN Features
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doctoralThesis -
40
Approximation algorithms inspired by kernelization nethods
Published 2017“…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of reduction rules and combinatorial insights. …”
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