Results 11 to 20 of about 1,758,089 (240)
A systematic review of meta-heuristic algorithms in IoT based application
Array, 2022 Internet-of-Things (IoT) has gained quick popularity with the evolution of technologies such as big data analytics, block-chain, artificial intelligence, machine learning, and deep learning.
Vivek Sharma, Ashish Kumar Tripathi
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Heuristic algorithms for best match graph editing [PDF]
Algorithms for Molecular Biology, 2021 Background Best match graphs (BMGs) are a class of colored digraphs that naturally appear in mathematical phylogenetics as a representation of the pairwise most closely related genes among multiple species.
David Schaller +3 more
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Heuristic algorithms for assigning Hispanic ethnicity. [PDF]
PLoS ONE, 2013 We compared several techniques for assigning Hispanic ethnicity to records in data systems where this information may be missing, variously making use of country of origin, surname, race, and county of residence.
Francis P Boscoe +3 more
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Alexandria Engineering Journal, 2023 Meta heuristics is an optimization approach that works as an intelligent technique to solve optimization problems. Evolutionary algorithms, human-based algorithms, physics-based algorithms and swarm intelligence are categorized under meta-heuristic ...
Othman Waleed Khalid +2 more
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Tsinghua Science and TechnologyMeta-heuristic algorithms search the problem solution space to obtain a satisfactory solution within a reasonable timeframe. By combining domain knowledge of the specific optimization problem, the search efficiency and quality of meta-heuristic ...
Lin Gui +3 more
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Ensemble clustering via heuristic optimisation [PDF]
, 2010 This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel UniversityTraditional clustering algorithms have different criteria and biases, and there is no single algorithm that can be the best solution for a wide range of ...
Li, Jian
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A comprehensive review on meta-heuristic algorithms and their classification with novel approach [PDF]
Journal of Applied Research on Industrial Engineering, 2021 Conventional and classical optimization methods are not efficient enough to deal with complicated, NP-hard, high-dimensional, non-linear, and hybrid problems.
Hojatollah Rajabi Moshtaghi +2 more
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Application of symbolic regression for constitutive modeling of plastic deformation
Applications in Engineering Science, 2021 In numerical process simulations, in-depth knowledge about material behavior during processing in the form of trustworthy material models is crucial.
Evgeniya Kabliman +4 more
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Novel Heuristic Algorithm & its Application for Reliability Optimization
International Journal of Mathematical, Engineering and Management Sciences, 2023 Heuristic algorithms are practical, easy to implement, and work fast to provide short-term, feasible solutions for any kind of problem within economical budgets as compared to other meta-heuristic algorithms.
Tripti Dahiya +4 more
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Prediction of microscopic residual stresses using genetic programming
Applications in Engineering Science, 2023 Metallurgical manufacturing processes commonly used in the industry (rolling, extrusion, shaping, machining, etc.) usually cause residual stress development which can remain after thermal heat treatments.
Laura Millán +7 more
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