بدائل البحث:
guided optimization » based optimization (توسيع البحث), model optimization (توسيع البحث)
state optimization » swarm optimization (توسيع البحث), whale optimization (توسيع البحث), path optimization (توسيع البحث)
active state » active site (توسيع البحث), active sites (توسيع البحث), active case (توسيع البحث)
binary basic » binary mask (توسيع البحث)
basic guided » ai guided (توسيع البحث)
guided optimization » based optimization (توسيع البحث), model optimization (توسيع البحث)
state optimization » swarm optimization (توسيع البحث), whale optimization (توسيع البحث), path optimization (توسيع البحث)
active state » active site (توسيع البحث), active sites (توسيع البحث), active case (توسيع البحث)
binary basic » binary mask (توسيع البحث)
basic guided » ai guided (توسيع البحث)
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1
The flowchart of the proposed algorithm.
منشور في 2024"…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …"
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2
Summary of literature review.
منشور في 2024"…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …"
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3
Topic description.
منشور في 2024"…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …"
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4
Notations along with their descriptions.
منشور في 2024"…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …"
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5
Detail of the topics extracted from DUC2002.
منشور في 2024"…To overcome this limitation, recent advancements have introduced multi-objective evolutionary algorithms for ATS. This study proposes an enhancement to the performance of ATS through the utilization of an improved version of the Binary Multi-Objective Grey Wolf Optimizer (BMOGWO), incorporating mutation. …"
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6
Data_Sheet_1_A real-time driver fatigue identification method based on GA-GRNN.ZIP
منشور في 2022"…In this paper, a non-invasive and low-cost method of fatigue driving state identification based on genetic algorithm optimization of generalized regression neural network model is proposed. …"
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7