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testing algorithm » cosine algorithm (Expand Search)
colon algorithm » colony algorithm (Expand Search), cosine algorithm (Expand Search), carlo algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
element » elements (Expand Search)
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An incremental approach for test synthesis and scheduling using genetic algorithms. (c2002)
Published 2002Subjects: “…Integrated circuits -- Very large scale integration -- Testing…”
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masterThesis -
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Bird’s Eye View feature selection for high-dimensional data
Published 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. …”
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A Graph Heuristic Approach for the Data Path Allocation Problem
Published 2022“…The algorithm is tested on various benchmarks and favorable results are reported. …”
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masterThesis -
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Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation
Published 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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Incremental & classical genetic algorithm. (c2001)
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masterThesis -
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Fuzzy simulated evolution algorithm for VLSI cell placement
Published 2003“…Placement is a major step encountered during the design of very large scale integrated circuits. It is a generalization of the quadratic assignment problem with numerous constraints, several objectives, and a very noisy solution space. …”
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Physical optimization algorithms for mapping data to distributed-memory multiprocessors
Published 1992“…The performances of the three physical optimization algorithms are evaluated and compared, among themselves and with previous good algorithms, for a variety of test cases. …”
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masterThesis -
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XBeGene: Scalable XML Documents Generator by Example Based on Real Data
Published 2012“…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …”
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conferenceObject -
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A non-convex economic load dispatch problem using chameleon swarm algorithm with roulette wheel and Levy flight methods
Published 2023“…The superiority and practicality of ECSA is demonstrated by getting new best solutions for large-scale ELD cases such as 40-unit and 140-unit test systems.…”
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Multi-Objective Co-optimization of Power and Gas under Uncertainties with P2H embedded
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doctoralThesis -
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A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai
Published 2024“…The proposed framework comprises key elements: Important Decisions derived from interviews with transportation leaders, Knowledge Management enhanced by AI algorithms, Data Mining/Analysis utilizing historical data, the Fleet Management System employing Oracle ERP, and a Data-Driven Decision Support Framework that leans towards the extended framework approach. …”
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Brain Source Localization in the Presence of Leadfield Perturbations
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An Alternating Projection Framework for Elementwise Masked Nonlinear Matrix Decomposition
Published 2025Get full text
doctoralThesis -
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Nonlinear analysis of shell structures using image processing and machine learning
Published 2023“…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …”
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