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data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
new algorithm » deer algorithm (Expand Search), rd algorithm (Expand Search)
level colony » bee colony (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
new algorithm » deer algorithm (Expand Search), rd algorithm (Expand Search)
level colony » bee colony (Expand Search)
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A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011)
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A new approach to record clustering for large databases. (c1997)
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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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Kernelization algorithms for the vertex cover problem
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Efficient heuristic algorithms for influence propagation in social networks. (c2018)
Published 2018“…Our experiments on a variety of social (sub) networks show that our algorithms can almost always manage to extract a small set of influencers through which we can effectively propagate a message throughout the whole network.…”
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An image processing and genetic algorithm-based approach for the detection of melanoma in patients
Published 2018“…However, these methods are not always well founded because they depend heavily on the physician’s experience. Hence, there is a great need for a new automated approach in order to make diagnosis more reliable. …”
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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“…An Enhanced Chameleon Swarm Algorithm (ECSA) by integrating roulette wheel selection and Lévy flight methods is presented to solve non-convex Economic Load Dispatch (ELD) problems. …”
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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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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
Published 2022“…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …”
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Brain Source Localization in the Presence of Leadfield Perturbations
Published 2015Get full text
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A dynamically turbo-charged heuristic for graph coloring. (c2018)
Published 2018“…The recently introduced turbo-charging idea is further enhanced in this thesis by introducing a dynamic version of turbo-charging where the moment of regret and the rollback points are determined dynamically. Experiments comparing our turbo-charging algorithm to other heuristics were conducted on a number of known benchmarks. …”
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masterThesis -
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Efficient Approximate Conformance Checking Using Trie Data Structures
Published 2021“…In this paper, we contribute a new formulation of the proxy behavior derived from a model for approximate conformance checking. …”
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On-site workshop investment problem: A novel mathematical approach and solution procedure
Published 2023“…Next, due to the NP-hardness of the problem, an enhanced Genetic Algorithm (GA)-based metaheuristic with efficient problem-specific improvement rules as local search and effective crossover and mutation operators is proposed. …”
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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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Correlation Clustering with Overlaps
Published 2020“…Moreover, we allow the new vertex splitting operation, which allows the resulting clusters to overlap. In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …”
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masterThesis