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routing algorithm » cosine algorithm (Expand Search)
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routing algorithm » cosine algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
rd algorithm » _ algorithms (Expand Search)
element » elements (Expand Search)
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Modified clarke wright algorithms for solving the realistic vehicle routing problem
Published 2015“…Thus, in this paper we implement and test a modified version of the Clarke Wright algorithm where we concentrate on route time and customer's priority. …”
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Variable Selection in Data Analysis: A Synthetic Data Toolkit
Published 2024“…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …”
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Mobile hospitals routing for prioritized patients
Published 2017“…A lot of research has been conducted regarding this topic; still, up to our knowledge, none used an intelligent variable neighbourhood search approach. This paper implements and tests an intelligent variable neighbourhood search algorithm for MHRP. …”
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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
Published 2024“…UniBFS exploits the inherent characteristic of binary algorithms-binary coding-to search the entire problem space for identifying relevant features while avoiding irrelevant ones. …”
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Optimal Routing Protocol in Multimedia Wireless Sensor Networks
Published 2011Get full text
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Auto-indexing Arabic texts based on association rule data mining. (c2015)
Published 2015“…Our model denotes extracting new relevant words by relating those chosen by the previous classical methods, to new words using data mining rules. …”
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A survey and comparison of wormhole routing techniques in a meshnetworks
Published 1997“…Although an extremely wide number of routing algorithms have been proposed and implemented in hardware and software, it is difficult for the designer of a multicomputer to choose the best routing algorithm given a particular architectural configuration. …”
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Estimating Construction Project Duration Using a Machine Learning Algorithm
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Swarm intelligence-based hyper-heuristic for the vehicle routing problem with prioritized customers
Published 2020“…This paper modifies a classical mathematical model that represents the VRPC, implements and tests an evolutionary Cuckoo Search-based hyper-heuristic, and then compares the results with those of our proposed modified version of the Clarke Wright (CW) algorithm. …”
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A method for efficient NoC test scheduling using deterministic routing
Published 2017“…The method uses a deterministic routing algorithm that minimizes test time while avoiding blocking. …”
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Mobile clinics routing in response to covid-19 outbreak: an intelligent hyperheuristic approach
Published 2022“…This paper implements and tests an intelligent variable neighbourhood search algorithm for MCRP.…”
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Spatially-Distributed Missions With Heterogeneous Multi-Robot Teams
Published 2021“…Both combine a generic MILP solver and a genetic algorithm, resulting in efficient anytime algorithms. …”
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A method for efficient mapping and reliable routing for NoC architectures with minimum bandwidth and area
Published 2017“…The method proposes a new efficient routing algorithm that minimizes blocking while increasing bandwidth throughput. …”
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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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Mining airline data for CRM strategies. (c2006)
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Indexing Arabic texts using association rule data mining
Published 2019“…The model denotes extracting new relevant words by relating those chosen by previous classical methods to new words using data mining rules. …”
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Artificial intelligence-based methods for fusion of electronic health records and imaging data
Published 2022“…In our analysis, a typical workflow was observed: feeding raw data, fusing different data modalities by applying conventional machine learning (ML) or deep learning (DL) algorithms, and finally, evaluating the multimodal fusion through clinical outcome predictions. …”
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