Results 31 to 40 of about 28,590 (257)
This paper proposed a novel radial basis function (RBF) neural network model optimized by exponential decreasing inertia weight particle swarm optimization (EDIW-PSO).
Jinna Lu, Hongping Hu, Yanping Bai
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Grasping Posture Control Design for a Home Service Robot Using an ABC-Based Adaptive PSO Algorithm
In this paper, a grasping posture control for a robotic arm is developed based on novel adaptive particle swarm optimization (PSO) for the home service robot.
Tzuu-Hseng S. Li +3 more
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Particle Swarm Optimization with Independent Adaptive Parameter Adjustment
Aiming at the problems that traditional particle swarm optimization (PSO) algorithm is prone to fall into local optimum and depends on the value of parameters when solving complex optimization problems, an independent adaptive parameter adjustment ...
ZHANG Qiwen, WEI Yachen
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The beetle antennae search algorithm (BAS) is a new heuristic algorithm proposed in 2017. BAS is a simulation optimization algorithm based on beetle antennae, which determine the direction of flight by sensing the smell of food and thereby find the food.
Meijin Lin +3 more
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Nonlinear Dissipative Particle Swarm Algorithm and Its Applications
A nonlinear dissipative particle swarm algorithm is proposed for the problem of poor search accuracy by the particle swarm algorithm, especially for the optimization of high-dimensional functions.
Qinghe Xu, Tunhua Wu, Weiwei Wang
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ABSTRACT Background Parents of children treated for acute lymphoblastic leukemia (ALL) often experience significant caregiver burden and disruption to their well‐being. While parent quality of life (QoL) during treatment is well characterized, little is known about outcomes during early survivorship.
Sara Dal Pra +3 more
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Partial transmit sequence (PTS) is one of the effective techniques for reducing the peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) systems. PTS technique has some issues such as higher computational complexity due
Sanjana Prasad +2 more
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A multi-objective full-parameter optimization particle swarm optimization (MOFOPSO) algorithm is proposed in this paper to overcome the drawbacks of poor accuracy, low efficiency, and instability of the existing algorithms in the inverse kinematics(IK ...
Sha Luo +3 more
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An improved adaptive particle swarm algorithm with guiding strategy (GSAPSO) was proposed, and it was applied to solve the reactive power optimization (RPO).
Fengli Jiang +4 more
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ABSTRACT Introduction Adult‐onset Still's disease (AOSD) complicated by macrophage activation syndrome (MAS) carries substantial mortality. The role of therapeutic plasma exchange (TPE) remains uncertain. Methods We retrospectively analyzed patients with AOSD‐MAS treated with TPE at a single‐center.
Masataka Ueda +15 more
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