Search alternatives:
based optimization » whale optimization (Expand Search)
primary route » primary role (Expand Search), primary cause (Expand Search)
route based » rule based (Expand Search), rate based (Expand Search), module based (Expand Search)
a bayesian » _ bayesian (Expand Search)
binary a » binary _ (Expand Search), binary b (Expand Search), hilary a (Expand Search)
based optimization » whale optimization (Expand Search)
primary route » primary role (Expand Search), primary cause (Expand Search)
route based » rule based (Expand Search), rate based (Expand Search), module based (Expand Search)
a bayesian » _ bayesian (Expand Search)
binary a » binary _ (Expand Search), binary b (Expand Search), hilary a (Expand Search)
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1
Routing policy based on path satisfaction.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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2
Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things
Published 2025“…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”
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3
Flowchart of simple ant colony algorithm.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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4
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5
Business priorities.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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6
Topology of 14-node communication network.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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7
Changes of risk value under different parameters.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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8
Performance of active and standby paths.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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9
DATA.
Published 2025“…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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10
General procedural flow of clustering algorithm.
Published 2024“…A nature-inspired meta-heuristic algorithm titled African Vulture Optimization Based Clustering Algorithm (AVOCA) is implemented to achieve it. …”
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11
Optimal cluster head approach.
Published 2024“…A nature-inspired meta-heuristic algorithm titled African Vulture Optimization Based Clustering Algorithm (AVOCA) is implemented to achieve it. …”
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12
Optimal cluster formation approach.
Published 2024“…A nature-inspired meta-heuristic algorithm titled African Vulture Optimization Based Clustering Algorithm (AVOCA) is implemented to achieve it. …”
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13
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14
Table1_An integrated framework for UAV-based precision plant protection in complex terrain: the ACHAGA solution for multi-tea fields.xlsx
Published 2024“…The framework employs a hyperbolic genetic annealing algorithm (ACHAGA) to optimize UAV plant protection routes with the objectives of minimizing flight distance, reducing the number of turns, and enhancing route stability. …”
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15
Table2_An integrated framework for UAV-based precision plant protection in complex terrain: the ACHAGA solution for multi-tea fields.docx
Published 2024“…The framework employs a hyperbolic genetic annealing algorithm (ACHAGA) to optimize UAV plant protection routes with the objectives of minimizing flight distance, reducing the number of turns, and enhancing route stability. …”
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16
DataSheet1_An integrated framework for UAV-based precision plant protection in complex terrain: the ACHAGA solution for multi-tea fields.zip
Published 2024“…The framework employs a hyperbolic genetic annealing algorithm (ACHAGA) to optimize UAV plant protection routes with the objectives of minimizing flight distance, reducing the number of turns, and enhancing route stability. …”
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17
DataSheet3_An integrated framework for UAV-based precision plant protection in complex terrain: the ACHAGA solution for multi-tea fields.zip
Published 2024“…The framework employs a hyperbolic genetic annealing algorithm (ACHAGA) to optimize UAV plant protection routes with the objectives of minimizing flight distance, reducing the number of turns, and enhancing route stability. …”
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18
DataSheet2_An integrated framework for UAV-based precision plant protection in complex terrain: the ACHAGA solution for multi-tea fields.zip
Published 2024“…The framework employs a hyperbolic genetic annealing algorithm (ACHAGA) to optimize UAV plant protection routes with the objectives of minimizing flight distance, reducing the number of turns, and enhancing route stability. …”
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19
DataSheet4_An integrated framework for UAV-based precision plant protection in complex terrain: the ACHAGA solution for multi-tea fields.zip
Published 2024“…The framework employs a hyperbolic genetic annealing algorithm (ACHAGA) to optimize UAV plant protection routes with the objectives of minimizing flight distance, reducing the number of turns, and enhancing route stability. …”
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20
Bayesian sequential design for sensitivity experiments with hybrid responses
Published 2023“…To deal with the problem of complex computation involved in searching for optimal designs, fast algorithms are presented using two strategies to approximate the optimal criterion, denoted as SI-optimal design and Bayesian D-optimal design, respectively. …”