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New Design of Smooth PSO-IPF Navigator With Kinematic Constraints
Published 2024-01-01“…Smooth path planning is crucial for mobile robots to ensure stable and efficient navigation, as it minimizes jerky movements and enhances overall performance Achieving this requires smooth collision-free paths. Partial Swarm Optimization (PSO) and Potential Field (PF) are notable path-planning techniques, however, they may struggle to produce smooth paths due to their inherent algorithms, potentially leading to suboptimal robot motion and increased energy consumption. …”
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Heterogeneous Multi-Agent Deep Reinforcement Learning for Cluster-Based Spectrum Sharing in UAV Swarms
Published 2025-05-01“…The MAPPO-H enables the CHs to decide cluster selection and moving position, while CMs utilize IPPO-M to cluster autonomously under the condition of certain partial channel distribution information (CDI). Adequate experimental evidence has confirmed that the HMDRL-UC algorithm proposed in this paper is not only capable of managing dynamic drone swarm scenarios in the presence of partial CDI, but also has a clear advantage over the other existing three algorithms in terms of average throughput, intra-cluster communication delay, and minimum signal-to-noise ratio (SNR).…”
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Contact plan design based on bi-directional particle swarm optimization in satellite network
Published 2019-08-01Get full text
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Multi-objective particle swarm algorithm based on angular segmentation archive and dynamic update tactics
Published 2025-08-01Get full text
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Optimization of stamping workshop line layout based on improved PSO algorithm
Published 2025-03-01Get full text
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Finding Reliability of Slopes by Optimization of ANFIS with GA, FFA and PSO
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KMOBPSO-Based High Reliability Controller Placement Algorithm in SDN
Published 2015-06-01Get full text
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Evolving the Whale Optimization Algorithm: The Development and Analysis of MISWOA
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