نتایج جستجو برای: Particle swarm optimization

تعداد نتایج: 480807  

Journal: :IEICE Transactions on Information and Systems 2009

Journal: :Information Technology Journal 2014

Journal: :IEEE Transactions on Evolutionary Computation 2011

Journal: :JNW 2014
Bo Xu Ligang Cai Jianwu Yang Sen Zhang

Based on the issue of torsional vibration, this article analyzes the structure of the drive part of coaxial drive printing system, constructs its mathematic model, and explores the mechanism of generation of torsional vibration of press-that is the coupling of inherent frequency between input signal and machine drive system which leads to torsional vibration. In view of this, it adopts the clos...

2016
G. Keerthana G. Padmavathi

Wireless Sensor Network (WSN) is a collection of tiny sensor nodes capable of sensing and processing the data. These sensors are used to collect the information from the environment and pass it on to the base station. A WSN is more vulnerable to various attacks. Among the different types of attacks, sinkhole attack is more vulnerable because it leads to a variety of attacks further in the netwo...

2016
Yu DONG Lin-Lin ZHAO

A niche chaotic mutation particle swarm optimization (NCPSO) algorithm is proposed to overcome the problem of loss details of images, the contrast is not obvious and poor adaptability in traditional image enhancement methods. In this algorithm, niching methods and elimination strategy are introduced to improve the global optimization ability. Mutative scale chaos mutation algorithm has refined ...

2010
Armin Burchardt Tim Laue Thomas Röfer

Particle filter-based approaches have proven to be capable of efficiently solving the self-localization problem in RoboCup scenarios and are therefore applied by many participating teams. Nevertheless, they require a proper parametrization – for sensor models and dynamic models as well as for the configuration of the algorithm – to operate reliably. In this paper, we present an approach for opt...

2016
ZHIMIN WANG Zhimin Wang Xun Chen Lisheng Xu

The paper puts forward an unmanned aerial vehicle (UAV) fixed-point reconnaissance route planning method. The method introduces the improved particle swarm optimization (IPSO) method to the planning of UAV reconnaissance route and adds the objective value, effective reconnaissance route and other factors affecting UAV reconnaissance route in the objective function of particle swam to obtain the...

Journal: :Communications in Nonlinear Science and Numerical Simulation 2021

Journal: :IEEE Transactions on Circuits and Systems II: Express Briefs 2017

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