Results 21 to 30 of about 17,803 (264)
IEEE Access, 2021 Autonomous sailing robots are a new type of green ship that use wind energy to maintain continuous cruising operations. Compared with traditional algorithms, swarm intelligence optimization algorithms have better intelligence and adaptation.
Lin Zhou +4 more
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Improved Rao-Blackwellized Particle Filter by Particle Swarm Optimization
Journal of Applied Mathematics, 2013 The Rao-Blackwellized particle filter (RBPF) algorithm usually has better performance than the traditional particle filter (PF) by utilizing conditional dependency relationships between parts of the state variables to estimate.
Zeng-Shun Zhao +8 more
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IEEE Access, 2020 In an islanded microgrid with multiple distributed generations (DGs), the difference in line impedance may cause local voltage deviation, which leads to a series of problems such as lower power allocation accuracy and bus voltage drop under traditional ...
Liang Zhang +4 more
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Advances in Mechanical Engineering, 2017 An improved particle swarm optimization method that has better equilibrium characteristic between global search and local search is proposed for parameter identification of hysteresis nonlinear dynamic model for piezoelectric positioning system.
Yu Xie, Jing-Li Fu, Ben-Yong Chen
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Energy Reports, 2022 The sewage treatment system based on particle swarm optimization algorithm to improve energy efficiency is analyzed. Firstly, this paper takes particle swarm optimization algorithm and activated sludge sewage treatment method as the research object, and ...
Bingqin Su +5 more
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Improved SpikeProp for Using Particle Swarm Optimization [PDF]
Mathematical Problems in Engineering, 2013 A spiking neurons network encodes information in the timing of individual spike times. A novel supervised learning rule for SpikeProp is derived to overcome the discontinuities introduced by the spiking thresholding. This algorithm is based on an error-backpropagation learning rule suited for supervised learning of spiking neurons that use exact spike ...
Ahmed, Falah Y. H. +2 more
openaire +2 more sources
Multirobot task allocation based on an improved particle swarm optimization approach
International Journal of Advanced Robotic Systems, 2017 Due to its complexity and non-deterministic polynomial-time hard characteristic, multirobot task allocation problem remains a challenging issue in the field of cooperative robotics.
Zhanxia Zhu, Biwei Tang, Jianping Yuan
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Multi-robot path planning using an improved self-adaptive particle swarm optimization
International Journal of Advanced Robotic Systems, 2020 Path planning is of great significance in motion planning and cooperative navigation of multiple robots. Nevertheless, because of its high complexity and nondeterministic polynomial time hard nature, efficiently tackling with the issue of multi-robot ...
Biwei Tang +3 more
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Applying Improved Particle Swarm Optimization to Asynchronous Parallel Disassembly Planning
IEEE Access, 2022 Disassembly Planning (DP) refers to an optimization method to find the most cost-effective disassembly sequence for products based on the disassembly properties of parts.
Hwai-En Tseng +2 more
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FEBS Letters, EarlyView.Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley +1 more source