Results 21 to 30 of about 16,708 (237)
Chemical Engineering Transactions, 2019 This paper considers the robust identification of Hammerstein-Wiener systems in the presence of Gaussian or non-Gaussian noises. An improved intelligent identification scheme is exploited by combining particle swarm optimization (PSO) and K-means ...
Zhu Wang, Haoran An, Xiong-Lin Luo
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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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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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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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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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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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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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International Journal of Advanced Robotic Systems, 2019 Robots are coming to help us in different harsh environments such as deep sea or coal mine. Waste landfill is the place like these with casualty risk, gas poisoning, and explosion hazards.
Peng Chen +4 more
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IEEE Access, 2019 With the development of railway transportation, the railway transportation enterprises expand their freight transportation from station-to-station transportation to door-to-door transportation, which makes the routing design more complicated.
Qianqian Zhang +4 more
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Improvement of Grey System Model using Particle Swarm Optimization [PDF]
Journal of Electrical Systems and Information Technology, 2020 AbstractAn improvement of the traditional grey system model, GM(1,1), to enhance forecast accuracy, has been realized using the particle swarm optimization (PSO) algorithm. Unlike the GM(1,1) which uses a fixed adjacent neighbor weight for all data sets, the proposed PSO-improved model, PSO-GM(1,1), determines an optimal adjacent neighbor weight, based
Elvis Twumasi +3 more
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