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Advanced Search Results For "PARTICLE swarm optimization"

1 - 10 of 41,448 results for
 "PARTICLE swarm optimization"
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Improved Prediction of Metamaterial Antenna Bandwidth Using Adaptive Optimization of LSTM.

Publication Type:Academic Journal

Source(s):Computers, Materials & Continua. 2022, Vol. 73 Issue 1, p865-881. 17p.

Abstract:The design of an antenna requires a careful selection of its parameters to retain the desired performance. However, this task is time-consuming when the traditional approaches are employed, which represents a significant challenge. On the other hand, m...

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Discrete Dynamic Modeling Analysis of College Students' Ideological and Political Education Based on Particle Swarm Optimization Algorithm.

Publication Type:Academic Journal

Source(s):Mathematical Problems in Engineering. 9/20/2022, p1-8. 8p.

Abstract:Today, with the rapid development of the Internet, the new carrier and platform of college students' ideological and political education innovation need to be improved. In order to improve the timeliness of college students' ideological and political r...

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Improvement of Wolf Pack Algorithm and Its Application to Logistics Distribution Problems.

Publication Type:Academic Journal

Source(s):Scientific Programming. 9/13/2022, p1-12. 12p.

Abstract:In logistics distribution systems, the constrained optimisation of the cargo dispensing problem has been the focus of research in related fields. At present, many scholars try to solve the problem by introducing swarm intelligence algorithms, including...

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Construction of Mathematical Model of Logistics Delivering Based on Intelligent Mobilization.

Publication Type:Academic Journal

Source(s):Journal of Function Spaces. 9/12/2022, p1-11. 11p.

Abstract:Distribution process is the core of logistics enterprise system. Efficient distribution process is the key for enterprises to improve logistics service level, gain competitive advantage, and win customers. In order to reduce the design error of the sys...

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Variational algorithm of quantum neural network based on quantum particle swarm.

Publication Type:Academic Journal

Source(s):Journal of Applied Physics. 9/14/2022, Vol. 132 Issue 10, p1-11. 11p.

Abstract:Most models of quantum neural networks are optimized based on gradient descent, and like classical neural networks, gradient descent suffers from the barren plateau phenomenon, which reduces the effectiveness of optimization. Therefore, this paper esta...

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Equalization Optimizer-Based LSTM Application in Reservoir Identification.

Publication Type:Academic Journal

Source(s):Computational Intelligence & Neuroscience. 9/9/2022, p1-20. 20p.

Abstract:In recent years, the use of long short-term memory (LSTM) has made significant contributions to various fields and the use of intelligent optimization algorithms combined with LSTM is also one of the best ways to improve model shortcomings and increase...

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基于灰狼优化算法的茶园拖拉机转角控制器.

Publication Type:Academic Journal

Source(s):Journal of Jiangsu University-Natural Science Edition / Jiangsu Daxue Xuebao-Ziran Kexue Ban. 2022, Vol. 43 Issue 5, p539-546. 8p.

Abstract:比例积分微分 (proportional-integral-derivative, PID) 控制算法被广泛用于茶园拖拉机的转角控制系统, 但是 PID 控制器带来大量的参数整定以及滞后性, 必然会降低控制精度和控制效率. 为了解决这一问题, 提出了基于灰狼优化算法 (grey wolf optimization algorithm, GWOA) 的茶园拖拉机转角控制器. 首先, 建立了简化的茶园拖拉机电动助力转向 (electric power steering, EPS) 系统的数学模型;其次,...

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无人驾驶汽车平行泊车路径规划优化与跟踪.

Publication Type:Academic Journal

Source(s):Journal of Jiangsu University-Natural Science Edition / Jiangsu Daxue Xuebao-Ziran Kexue Ban. 2022, Vol. 43 Issue 5, p519-523. 5p.

Abstract:为了提高无人驾驶汽车路边平行泊车的安全性、泊车效率、平稳性及乘坐舒适性,分析了路 边平行泊车工况特点,采用五次多项式曲线进行路径规划.建立路径规划曲线参数优化设计数学 模型,设计变量选取泊车起始位置横坐标,基于泊车边界条件建立 6 个等式约束条件,基于曲率、避 撞、减少泊车空间等要求建立 3 个不等式约束条件,以最大曲率和泊车起始位置横坐标绝对值加权 和作为目标函数.采用粒子群优化算法求解,得到泊车起始位置横坐标,再计算 6个多项式待定系 数,得到了优化、平滑、曲率连续的规划路径曲线表达式.基于纯跟...

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Multistrategy Harris Hawks Optimization Algorithm Using Chaotic Method, Cauchy Mutation, and Elite Individual Guidance.

Publication Type:Academic Journal

Source(s):Discrete Dynamics in Nature & Society. 8/28/2022, p1-12. 12p.

Abstract:Aiming at the shortcomings of the Harris hawks optimization algorithm (HHO), such as poor initial population diversity, slow convergence speed, poor local optimization ability, and easily falling into local optimum, a Harris hawks optimization algorith...

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RFID Indoor Positioning Based on AP Clustering and Improved Particle Swarm Algorithm.

Publication Type:Academic Journal

Source(s):Journal of Sensors. 8/25/2022, p1-19. 19p.

Abstract:This paper proposes a method based on AP clustering and an improved particle swarm algorithm for radio frequency identification (RFID) indoor positioning, called the AP-PSO method. Firstly, an AP clustering algorithm is used to cluster the RSSI values ...

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