Adjustment of Observational Data to Specific Functional Forms Using a Particle Swarm Algorithm and Differential Evolution: Rotational Curves of a Spiral Galaxy as Case Study

2012 ◽  
pp. 81-88 ◽  
Author(s):  
Miguel Cárdenas-Montes ◽  
Mercedes Mollá ◽  
Miguel A. Vega-Rodríguez ◽  
Juan José Rodríguez-Vázquez ◽  
Antonio Gómez-Iglesias
Keyword(s):  
Differential Evolution ◽  
Observational Data ◽  
Spiral Galaxy ◽  
Particle Swarm ◽  
Particle Swarm Algorithm ◽  
Functional Forms ◽  
Swarm Algorithm

The Application of the Projection Pursuit Model of the Particle Swarm Algorithm on the Investment Decision

2011 ◽  
Vol 474-476 ◽  
pp. 725-728 ◽  
Author(s):  
Li Deng ◽  
Fang Qiong Luo
Keyword(s):  
Decision Model ◽  
Investment Decision ◽  
Projection Pursuit ◽  
Particle Swarm ◽  
Basic Theory ◽  
Particle Swarm Algorithm ◽  
Good Decision ◽  
Projection Pursuit Model ◽  
Swarm Algorithm

In order to make a good decision in the projection investment, and the application of the projection pursuit model of particle swarm algorithm on the investment decision was studied in depth. Firstly, the development of the projection pursuit model of particle swarm algorithm was introduced, and then the brief introduction of PP and the step of constructing the PPC model were introduced. The basic theory and calculating procession of particle swarm algorithm was analyzed. And then the projection investment decision model was established. Finally a case study was carried out and the results showed that this method was simple and effective.

Dynamic simulation of wind field in three-dimensional display space considering particle swarm algorithm fuzzy logic

2021 ◽  
pp. 1-6
Author(s):  
Honglei Xu ◽  
Linhuan Wang
Keyword(s):  
Fuzzy Logic ◽  
Dynamic Simulation ◽  
Wind Field ◽  
Three Dimensional ◽  
Measurement Data ◽  
Particle Swarm ◽  
Particle Swarm Algorithm ◽  
Three Dimensional Display ◽  
Swarm Algorithm ◽  
Synchronous Measurement

In order to improve the accuracy of dynamic detection of wind field in the three-dimensional display space, system software is carried out on the actual scene and corresponding airborne radar observation information data, and the particle swarm algorithm fuzzy logic algorithm is introduced into the wind field dynamic simulation process in three-dimensional display space, to analyze the error of the filtering result in detail, to process the hurricane Lily Doppler radar measurement data with the optimal adaptive filtering according to the error data. The three-dimensional wind field synchronous measurement data obtained by filtering was compared with three-dimensional wind field synchronous measurement data of the GPS dropsonde in this experiment, the sea surface wind field measurement data of the multi-band microwave radiometer, and the wind field data at aircraft altitude.

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