بدائل البحث:
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
algorithm blood » algorithm based (توسيع البحث), algorithm flow (توسيع البحث), algorithm both (توسيع البحث)
algorithm time » algorithm i (توسيع البحث), algorithm ai (توسيع البحث), algorithm pre (توسيع البحث)
time function » sine function (توسيع البحث), like function (توسيع البحث), tissue function (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
algorithm blood » algorithm based (توسيع البحث), algorithm flow (توسيع البحث), algorithm both (توسيع البحث)
algorithm time » algorithm i (توسيع البحث), algorithm ai (توسيع البحث), algorithm pre (توسيع البحث)
time function » sine function (توسيع البحث), like function (توسيع البحث), tissue function (توسيع البحث)
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The obtained cost function values with respect to each run of different algorithms.
منشور في 2023الموضوعات: -
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Algorithm membership function.
منشور في 2022"…<p>(Top) Input Membership Function. The algorithm classifies glucose input into 4 sets: low, medium, high, and ex_high. …"
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The pseudocode for the NAFPSO algorithm.
منشور في 2025"…<div><p>This paper aims to solve the scheduling optimization problem in the emergency management of long-distance natural gas pipelines, with the goal of minimizing the total scheduling time. To this end, the objective function of the minimum total scheduling time is established, and the relevant constraints are set. …"
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PSO algorithm flowchart.
منشور في 2025"…<div><p>This paper aims to solve the scheduling optimization problem in the emergency management of long-distance natural gas pipelines, with the goal of minimizing the total scheduling time. To this end, the objective function of the minimum total scheduling time is established, and the relevant constraints are set. …"
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Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms.
منشور في 2023"…<p>Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms.…"
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