بدائل البحث:
iterative optimization » objective optimization (توسيع البحث)
codon optimization » wolf optimization (توسيع البحث)
based iterative » based integrative (توسيع البحث), based generative (توسيع البحث), based alternatives (توسيع البحث)
binary risk » primary risk (توسيع البحث), dietary risk (توسيع البحث)
lines based » lens based (توسيع البحث), genes based (توسيع البحث), lines used (توسيع البحث)
iterative optimization » objective optimization (توسيع البحث)
codon optimization » wolf optimization (توسيع البحث)
based iterative » based integrative (توسيع البحث), based generative (توسيع البحث), based alternatives (توسيع البحث)
binary risk » primary risk (توسيع البحث), dietary risk (توسيع البحث)
lines based » lens based (توسيع البحث), genes based (توسيع البحث), lines used (توسيع البحث)
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Performance on Iter.
منشور في 2024"…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …"
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DataSheet1_Stochastic and Iterative Based Optimization for Enhancing Dynamic Performance of Interconnected Power System With Hybrid Energy Storage.docx
منشور في 2022"…This study proposes a stochastic and iterative based optimization for a two-area interconnected power system (IPS) coupled with a hybrid energy storage system (HESS). …"
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Buffer allocation problem in production flow lines: A new Benders-decomposition-based exact solution approach
منشور في 2021"…The algorithm iterates between a simulation module that generates the Benders cuts and an optimization module that involves the solution of an updated MILP model. …"
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Description of the real-world dataset.
منشور في 2023"…Unlike most population-based methods, Jaya algorithm is a parameter-less algorithm in that it requires no algorithm-specific control parameters and only population size and number of iterations need to be specified, which makes it easy for researchers to apply in the field. …"
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Screenshot of our visualization tool MGDrawVis.
منشور في 2023"…Unlike most population-based methods, Jaya algorithm is a parameter-less algorithm in that it requires no algorithm-specific control parameters and only population size and number of iterations need to be specified, which makes it easy for researchers to apply in the field. …"