بدائل البحث:
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
based colony » bee colony (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
based colony » bee colony (توسيع البحث)
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1
Bee Colony Algorithm for Proctors Assignment.
منشور في 2015"…The Bee Colony algorithm is a recent population-based search algorithm that mimics the natural behavior of swarms of honey bees during the process of collecting food. …"
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Variable Selection in Data Analysis: A Synthetic Data Toolkit
منشور في 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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Auto-indexing Arabic texts based on association rule data mining. (c2015)
منشور في 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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masterThesis -
6
Bee colony algorithm for assigning proctors to exams. (c2013)
منشور في 2013احصل على النص الكامل
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masterThesis -
7
A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems
منشور في 2021"…The suggested algorithm integrates the SI-based algorithms to evolve population and handle exploration versus exploitation issues. …"
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Indexing Arabic texts using association rule data mining
منشور في 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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A modified ant colony algorithm for evolutionary design of digital circuits
منشور في 2003"…In this paper, a multiobjective optimization of logic circuits based on a modified ant colony (ACO) algorithm is presented. …"
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10
Fuzzified ant colony optimization algorithm for efficient combinational circuits synthesis
منشور في 2004"…Multiobjective optimization of logic circuits based on a fuzzified ant colony (ACO) algorithm is presented. …"
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Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence
منشور في 2020"…One of the best algorithms in terms of the result is the Long Short Term Memory (LSTM) since it is based on recurrent neural networks which uses loop as a method to learn from heuristics data. …"
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13
Allocation and re-allocation of data in a grid using an adaptive genetic algorithm
منشور في 2006"…Allocation and re-allocation of data in a grid using an adaptive genetic algorithm. …"
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conferenceObject -
14
Optimization of Interval Type-2 Fuzzy Logic System Using Grasshopper Optimization Algorithm
منشور في 2022"…The forecasting performance of the proposed model is compared with other population-based optimized IT2-FLS including genetic algorithm and artificial bee colony optimization algorithm. …"
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15
A combined ant colony optimization and simulated annealing algorithm to assess Stability and fault-proneness of classes based on internal software quality attributes
منشور في 2016"…., & Daoud, C. (2016). A Combined Ant Colony Optimization and Simulated Annealing Algorithm to Assess Stability and Fault-Proneness of Classes Based on Internal Software Quality Attributes. …"
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Efficient Approximate Conformance Checking Using Trie Data Structures
منشور في 2021"…By encoding the proxy behavior using a trie data structure, we obtain a logarithmically reduced search space for alignment computation compared to a set-based representation. …"
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18
Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm
منشور في 2022"…Moreover, the image pixels in different and more similar areas of the image are located next to one another in a group and classified using the specified thresholds. As a result, the embedding capacity in each class can increase by reducing the value of the difference between two consecutive pixels, and the distortion of the marked image can decrease after inserting the personal data using the DE method. …"
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Using Machine Learning Algorithms to Forecast Solar Energy Power Output
منشور في 2025"…We focused on the first 30-min, 3-h, 6-h, 12-h, and 24-h windows to gain an appreciation of the impact of forecasting duration on the accuracy of prediction using the selected machine learning algorithms. The study results show that Random Forest outperformed all other tested algorithms. …"