Results 211 to 220 of about 66,918,658 (250)

Recent Developments and Applications of Drone Swarm: Techniques, Strategies, and Challenges. [PDF]

Sensors (Basel)
Raj R, Kos A.
europepmc   +1 more source

Temperature Effect on Residual Magnetic Field of Atomic Gyroscope Magnetic Shielding System: A High-Precision Modeling Method. [PDF]

Sensors (Basel)
Chen Y, Li J, Lin S, Deng Y, Wang T, Pan D.   +5 more
europepmc   +1 more source

An Adaptive Support Vector Machine Optimized by an Improved Starfish Optimization Algorithm for Hyperspectral Image Classification. [PDF]

Biomimetics (Basel)
Zhang Y, Feng C, Xu Y.
europepmc   +1 more source

An adaptive oppositional grey wolf optimizer for complex engineering problems. [PDF]

Sci Rep
Khalid OW, Isa NAM, Alwan KM, Tiang SS, Sharma A, Berghout T, Tiang JJ, Lim WH.   +7 more
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Real-time HIL validation of a lyapunov-guaranteed optimal FOPID controller for quadrotor UAV trajectory tracking. [PDF]

Sci Rep
Elbasueny B, El-Sotouhy MM, Said E, Elsherif I, Kamel MA.   +4 more
europepmc   +1 more source

PSO-Based Dynamic RSU Role Assignment Framework for Scalable and Reliable Content Delivery in VANETs. [PDF]

Sensors (Basel)
Shin Y, Choi H, Nam Y, Lee E.
europepmc   +1 more source

Adaptive quantum inspired deep reinforcement learning for multi objective low carbon CCHP optimization. [PDF]

Sci Rep
Rehman A, Zhou S, Iqbal S, Alsaduni I, Shafiullah M, Aurangzeb M.   +5 more
europepmc   +1 more source

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Feature Selection Optimization for Mahalanobis-Taguchi System Using Chaos Quantum-Behavior Particle Swarm

Journal of Shanghai Jiaotong University (Science), 2020
The computational speed in the feature selection of Mahalanobis-Taguchi system (MTS) using standard binary particle swarm optimization (BPSO) is slow and it is easy to fall into the locally optimal solution. This paper proposes an MTS variable optimization method based on chaos quantum-behavior particle swarm. In order to avoid the influence of complex
Jiufu Liu, Rui Zheng, Zaihong Zhou, Xinzhe Zhang, Zhong Yang, Zhisheng Wang   +5 more
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Mobile energy replenishment scheduling based on quantum-behavior particle swarm optimization

2020 39th Chinese Control Conference (CCC), 2020
Wireless rechargeable sensor network is a new type of sensor network which has been widely concerned recently. It has the function of charging nodes in network. We use the mobile energy replenishment device to actively move to nodes in the sensor network for charging.
Chengpeng Jiang, Fen Liu, Jinglin Li, Peng LV, Wendong Xiao   +4 more
openaire   +1 more source

Particle swarm optimization with particles having quantum behavior

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753), 2004
In this paper, inspired by the analysis of convergence of PSO, we study the individual particle of a PSO system moving in a quantum multidimensional space and establish a quantum delta potential well model for PSO. After that, a trial method of parameter control and QDPSO is proposed.
Jun Sun 0008, Bin Feng, Wenbo Xu 0001
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