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Swarm Intelligence-Based Multi-Robotics: A Comprehensive Review
Published 2024-10-01Get full text
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602
Genetical Swarm Optimization of Multihop Routes in Wireless Sensor Networks
Published 2010-01-01Get full text
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603
UAV Swarm Confrontation Using Hierarchical Multiagent Reinforcement Learning
Published 2021-01-01Get full text
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604
Energy Efficiency Optimization in Swarm Robotics for Smart Photovoltaic Monitoring
Published 2025-03-01Get full text
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Study on Energy-saving Control of Large Central Air-conditioning System Based on BAS-PSO
Published 2021-01-01Get full text
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610
Two-Stage Hierarchical 4D Low-Risk Trajectory Planning for Urban Air Logistics
Published 2025-03-01Get full text
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611
Risk Assessment of Supplier R&D Investment Based on Improved BP Neural Network
Published 2025-06-01Get full text
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Optimization design of an acoustic cover layer for a cylindrical cavity based on porous materials
Published 2025-03-01Get full text
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614
Optimization model of electricity metering management based on MOPSO
Published 2025-06-01Get full text
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615
Switchable Polarization Beam Splitter Based on GST-on-Silicon Waveguides
Published 2020-01-01Get full text
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616
A Water Quality Prediction Model Based on Long Short-Term Memory Networks and Optimization Algorithms
Published 2024-01-01Get full text
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617
Deephive: A Reinforcement Learning Approach for Automated Discovery of Swarm-Based Optimization Policies
Published 2024-11-01Get full text
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Multi-Peak Photovoltaic Maximum Power Point Tracking Method Based on Honey Badger Algorithm Under Localized Shading Conditions
Published 2025-03-01“…The performance of this method is also compared and analyzed with the traditional MPPT methods based on the perturbation observation (P&O) method and Particle Swarm Optimization (PSO) algorithm. The experimental results have proven that, compared with the MPPT methods based on P&O and PSO, the proposed multi-peak MPPT method based on the HBA algorithm has a faster tracking speed, higher tracking accuracy, and fewer iterations.…”
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