بدائل البحث:
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
level using » level fusion (توسيع البحث)
search » research (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
level using » level fusion (توسيع البحث)
search » research (توسيع البحث)
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Application of Red Deer Algorithm in Optimizing Complex functions
منشور في 2021الموضوعات: "…RD algorithm…"
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Scheduling and allocation in high-level synthesis using genetic algorithm
منشور في 1994احصل على النص الكامل
masterThesis -
5
A bounded search tree algorithm for parameterized
منشور في 2008"…This paper builds on previous work of the authors and employs a structure theorem of Aksionov et al., with a detailed case analysis, to produce a face cover algorithm that runs in O(k4.6056+n2) time. We also point to the tight connections with red–blue dominating set on planar graphs via the annotated version of face cover that we consider in our search tree algorithm. …"
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The buffered work-pool approach for search-tree based optimization algorithms
منشور في 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 -
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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. …"
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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. …"
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Scatter search for protein structure prediction. (c2008)
منشور في 2008احصل على النص الكامل
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masterThesis -
10
Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
منشور في 2023"…BERT generates a 768-dimensional vector for each record, which introduces significant time complexity during computation. Additionally, our proposed model optimizes the features using a genetic algorithm. …"
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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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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. …"
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Matheuristic Fixed Set Search Applied to the Two-Stage Capacitated Facility Location Problem
منشور في 2025"…We propose a twofold contribution: first, an adaptive greedy algorithm that generates high-quality initial solutions, achieving markedly better results than traditional constructive heuristics at comparable computational costs; and second, the adaptation of the Matheuristic Fixed Set Search (MFSS) to the TSCFLP. …"
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Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting
منشور في 2011احصل على النص الكامل
doctoralThesis -
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Scheduling and allocation in high-level synthesis using stochastic techniques
منشور في 2020"…In this work, a unique approach to scheduling and allocation problem using the genetic algorithm (GA) is described. This approach is different from a previous attempt using GA (Wehn et al., IFIP Working Conference on Logic and Architecture Synthesis, Paris, 1990, pp. 47–56) in many respects. …"
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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
منشور في 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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