Results 1 to 10 of about 335,305 (187)
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
doaj +5 more sources
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
doaj +3 more sources
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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Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey [PDF]
IEEE Transactions on Evolutionary Computation, 2015 Meta-heuristic algorithms are often inspired by natural phenomena, including the evolution of species in Darwinian natural selection theory, ant behaviors in biology, flock behaviors of some birds, and annealing in metallurgy.
Xin Yao, Hongming Xu
exaly +4 more sources
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
doaj +3 more sources
Performance comparison of heuristic algorithms for task scheduling in IaaS cloud computing environment. [PDF]
PLoS ONE, 2017 Cloud computing infrastructure is suitable for meeting computational needs of large task sizes. Optimal scheduling of tasks in cloud computing environment has been proved to be an NP-complete problem, hence the need for the application of heuristic ...
Syed Hamid Hussain Madni +4 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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A comprehensive review on meta-heuristic algorithms and their classification with novel approach
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
doaj +1 more source
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
doaj +1 more source
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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