بدائل البحث:
based optimization » whale optimization (توسيع البحث), bayesian optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث), bayesian optimization (توسيع البحث)
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821
Fig 3 - .
منشور في 2025"…<div><p>Addressing the insufficient optimization performance in drone 3D path planning and the issues of inadequate optimization precision and tendency to fall into local optima in the existing Whale Optimization Algorithm (WOA), this paper proposes a drone 3D path planning method based on an improved Whale Optimization Algorithm (CSRD-WOA). …"
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822
Fixed multimodal test functions.
منشور في 2025"…<div><p>Addressing the insufficient optimization performance in drone 3D path planning and the issues of inadequate optimization precision and tendency to fall into local optima in the existing Whale Optimization Algorithm (WOA), this paper proposes a drone 3D path planning method based on an improved Whale Optimization Algorithm (CSRD-WOA). …"
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823
The cost of the flight in case two.
منشور في 2025"…<div><p>Addressing the insufficient optimization performance in drone 3D path planning and the issues of inadequate optimization precision and tendency to fall into local optima in the existing Whale Optimization Algorithm (WOA), this paper proposes a drone 3D path planning method based on an improved Whale Optimization Algorithm (CSRD-WOA). …"
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824
Top view.
منشور في 2025"…<div><p>Addressing the insufficient optimization performance in drone 3D path planning and the issues of inadequate optimization precision and tendency to fall into local optima in the existing Whale Optimization Algorithm (WOA), this paper proposes a drone 3D path planning method based on an improved Whale Optimization Algorithm (CSRD-WOA). …"
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825
Terrain map for case study one.
منشور في 2025"…<div><p>Addressing the insufficient optimization performance in drone 3D path planning and the issues of inadequate optimization precision and tendency to fall into local optima in the existing Whale Optimization Algorithm (WOA), this paper proposes a drone 3D path planning method based on an improved Whale Optimization Algorithm (CSRD-WOA). …"
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826
Fig 7 - .
منشور في 2025"…<div><p>Addressing the insufficient optimization performance in drone 3D path planning and the issues of inadequate optimization precision and tendency to fall into local optima in the existing Whale Optimization Algorithm (WOA), this paper proposes a drone 3D path planning method based on an improved Whale Optimization Algorithm (CSRD-WOA). …"
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827
Fig 8 - .
منشور في 2025"…<div><p>Addressing the insufficient optimization performance in drone 3D path planning and the issues of inadequate optimization precision and tendency to fall into local optima in the existing Whale Optimization Algorithm (WOA), this paper proposes a drone 3D path planning method based on an improved Whale Optimization Algorithm (CSRD-WOA). …"
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828
Side view.
منشور في 2025"…<div><p>Addressing the insufficient optimization performance in drone 3D path planning and the issues of inadequate optimization precision and tendency to fall into local optima in the existing Whale Optimization Algorithm (WOA), this paper proposes a drone 3D path planning method based on an improved Whale Optimization Algorithm (CSRD-WOA). …"
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829
Fig 2 - .
منشور في 2025"…<div><p>Addressing the insufficient optimization performance in drone 3D path planning and the issues of inadequate optimization precision and tendency to fall into local optima in the existing Whale Optimization Algorithm (WOA), this paper proposes a drone 3D path planning method based on an improved Whale Optimization Algorithm (CSRD-WOA). …"
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830
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831
Performance comparison of mainstream algorithms.
منشور في 2025"…<div><p>The rapid development of Internet of Things (IoT) technology and deep learning has propelled the deployment of vision-based fire detection algorithms on edge devices, significantly exacerbating the trade-off between accuracy and inference speed under hardware resource constraints. …"
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832
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833
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834
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835
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836
Dataset 2: Zip file containing the Tables of the presented method and results
منشور في 2025الموضوعات: -
837
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838
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839
Task sequences for each AGV when using Hungarian algorithm in the front end of IPSO(+B).
منشور في 2025الموضوعات: -
840
Task sequences for each AGV when using greedy algorithm in the front end of IPSO(+B).
منشور في 2025الموضوعات: