Search Results - (( program coding clustering algorithm ) OR ( java application bee algorithm ))
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Investigation on the dynamic of computation of semi autonomous evolutionary computation for syntactic optimization of a set of programming codes
Published 2007“…In parallel programming, the challenges in optimizing the codes in general are more than that for serial programming. …”
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2
Computational study of cobalt oxide: Nanoparticles, surfaces and thin films supported on metal oxide surfaces / Ala’ Omar Hasan Zayed
Published 2018“…Besides using our genetic algorithm code called Universal Genetic Algorithm (UGA) combined with DFT calculations to find the global and local energy minimum structures of (CoO)n (n = 3 − 7) clusters, we have also extended the search space to (CoO)nq (n = 3−10, q = 0, +1) clusters by another code of ours, the Modified Basin-Hopping Monte Carlo Algorithm (MBHMC) program, accompanied by accurate DFT calculations. …”
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Enhancing teaching and learning through data-driven optimization of servicing code demand and lecturer allocation using WEKA analysis
Published 2025“…Attribute selection through Information Gain Attrite Evaluation model highlighted Program Code, Course Code and Type of Course as the strongest predictors of course approval and demand levels. …”
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An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications.
Published 2020“…Hyper-heuristic is a new methodology for the adaptive hybridization of meta-heuristic algorithms to derive a general algorithm for solving optimization problems. …”
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Regionalization by fuzzy expert system based approach optimized by genetic algorithm.
Published 2013“…In order to achieve the objective, a MATLAB programming code was developed which considers the heterogeneity criteria of less than 1 (H < 1) as the satisfying criteria. …”
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Development of an integrated model for production planning and cell formation in cellular manufacturing systems
Published 2010“…These examples are written with lingo codes in LINGO software. In order to evaluate and verify the performance of the proposed model, it is compared with a well-known cell formation method (Rank order clustering, ROC), using group capability index (GCI) measure. …”
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