بدائل البحث:
using algorithm » cosine algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
complement » implement (توسيع البحث), complementary (توسيع البحث)
element » elements (توسيع البحث)
update » updated (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
complement » implement (توسيع البحث), complementary (توسيع البحث)
element » elements (توسيع البحث)
update » updated (توسيع البحث)
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141
Multiclass feature selection with metaheuristic optimization algorithms: a review
منشور في 2022"…The feature selection problem aims at reducing the feature set dimension while maintaining the performance model accuracy. Datasets can be classified using various methods. …"
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142
A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units
منشور في 2020"…The algorithm was developed, implemented and tested on an integrated model for the MS problem. …"
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article -
143
A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units
منشور في 2020"…The algorithm was developed, implemented and tested on an integrated model for the MS problem. …"
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article -
144
Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
منشور في 2024"…Hundreds of such labeled graphs were used to train the model to predict the location of centroids. …"
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masterThesis -
145
Transmission Line Fault Location Using Unsynchronized Measurements
منشور في 2013احصل على النص الكامل
doctoralThesis -
146
An evolutionary algorithm for solving the geometrically constrained site layout problem
منشور في 2017"…The layout problem considered in this paper is a static layout problem characterized by affinity weights used to model transportation costs between facilities and by geometric constraints between relative positions of facilities on site. …"
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conferenceObject -
147
Natural optimization algorithms for the cross-dock door assignment problem
منشور في 2016"…A lot of research has been conducted regarding this topic; still, up to our knowledge, none used scatter search (SS). This paper modifies a classical mathematical model that represents the CDAP and implements an evolutionary metaheuristic SS algorithm and tests it and then compares the results with those of another evolutionary algorithm, i.e., genetic algorithm (GA). …"
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article -
148
Physical optimization algorithms for mapping data to distributed-memory multiprocessors
منشور في 1992"…It allows large-scale mapping to become efficient, especially when the physical optimization algorithms are used.…"
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masterThesis -
149
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150
Correlation Clustering with Overlaps
منشور في 2020احصل على النص الكامل
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masterThesis -
151
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152
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153
Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network
منشور في 2020"…An Artificial neural network (ANN) algorithm was developed to model and optimize the cumulative methane production (CMP) from ASWs, CM, and their mixture under mesophilic and thermophilic conditions. …"
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154
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155
Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods
منشور في 2022"…The proposed system simulation is carried out using the MATLAB/Simulink-2021a® software. From the results, it is found that the Levenberg–Marquardt optimization algorithm-based ANN model gives the best electrical load forecasting results.…"
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156
Efficient heuristic algorithms for influence propagation in social networks. (c2018)
منشور في 2018"…Then we introduce the notion of an influence propagation function and use it to design an efficient algorithm across all types of networks. …"
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masterThesis -
157
Metaheuristic algorithm for testing web 2.0 applications. (c2012)
منشور في 2012احصل على النص الكامل
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masterThesis -
158
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159
Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain
منشور في 2021"…An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …"
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article -
160
DG-Means – A Superior Greedy Algorithm for Clustering Distributed Data
منشور في 2022"…Distributed clustering algorithms, however, can fulfil this gap. They extract a classification model from the distributed objects even when they are in different sites and locations. …"
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masterThesis