بدائل البحث:
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
new algorithm » deer algorithm (توسيع البحث), rd algorithm (توسيع البحث)
level using » level fusion (توسيع البحث)
implement » implemented (توسيع البحث), implementing (توسيع البحث)
element » elements (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
new algorithm » deer algorithm (توسيع البحث), rd algorithm (توسيع البحث)
level using » level fusion (توسيع البحث)
implement » implemented (توسيع البحث), implementing (توسيع البحث)
element » elements (توسيع البحث)
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New Fast Arctangent Approximation Algorithm for Generic Real-Time Embedded Applications
منشور في 2019"…This paper presents a novel technique that combines the advantages of both rational formulae and LUT approximation methods. The new algorithm exploits the pseudo-linear region around the tangent function zero point to estimate a reduced input arctangent through a modified rational approximation before referring this estimate to its original value using miniature LUTs. …"
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3
Scheduling and allocation in high-level synthesis using genetic algorithm
منشور في 1994احصل على النص الكامل
masterThesis -
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5
A New Parallel Genetic Algorithm Model
منشور في 2020"…This paper presents an implementation of three Genetic Algorithm models for solving a reliability optimization problem for a redundancy system with several failure modes, a modification on a parallel a genetic algorithm model and a new parallel genetic algorithm model. …"
احصل على النص الكامل
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6
A new reactive power optimization algorithm
منشور في 2003"…A new implementation for the particle swarm algorithm has been applied. …"
احصل على النص الكامل
احصل على النص الكامل
article -
7
Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation
منشور في 2023"…This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, called RSA-SSA. …"
احصل على النص الكامل
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8
An Evolutionary Algorithm for the Allocation Problem in High-Level Synthesis
منشور في 2005"…This paper presents an evolutionary algorithm to solve the datapath allocation problem in high-level synthesis. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
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9
A new genetic algorithm approach for unit commitment
منشور في 1997"…This paper presents a new genetic algorithm approach to solve the unit commitment problem in electric power systems. …"
احصل على النص الكامل
احصل على النص الكامل
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10
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11
Spectrum Sensing Algorithms for Cooperative Cognitive Radio Networks
منشور في 2010احصل على النص الكامل
doctoralThesis -
12
A New Penalty Function Algorithm For Convex Quadratic Programming
منشور في 2020احصل على النص الكامل
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13
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14
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Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images
منشور في 2023"…The picture histogram is used to display the algorithm's potential solutions. …"
احصل على النص الكامل
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16
Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach
منشور في 2025"…This paper proposes a new approach using convolutional neural networks with genetic algorithms for estimating air quality directly from images. …"
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A new tabu search algorithm for the long-term hydro scheduling problem
منشور في 2002"…A new efficient algorithm to solve the long-term hydro scheduling problem (LTHSP) is presented in this paper. …"
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احصل على النص الكامل
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Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting
منشور في 2011احصل على النص الكامل
doctoralThesis -
20
Bird’s Eye View feature selection for high-dimensional data
منشور في 2023"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"