On a hybrid particle swarm optimization method and its application in mechanism design

2014 ◽  
Vol 228 (15) ◽  
pp. 2844-2857 ◽  
Author(s):  
Chun-Te Lee ◽  
Chun-Che Lee
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Optimization Method ◽  
Swarm Optimization ◽  
Hybrid Particle ◽  
Hybrid Particle Swarm Optimization ◽  
Mechanical Linkage ◽  
Particle Swarm Optimization Method ◽  
Four Bar Linkage ◽  
Synthesis Of Mechanism

In this article, we propose a hybrid particle swarm optimization method and obtain the optimal solutions of the synthesis of mechanism. We study the mathematics on the four-bar linkage and its objective function on the optimization process and conduct the numerical experiment for four cases of movement of mechanical linkage bars (coupler curves). The result of synthesis of mechanism is not only shown to be in better accuracy but also properly matches the designated mechanical coupler bar curve.

scholarly journals Combat Network Synchronization of UCAV Formation Based on RTBA Model

2016 ◽  
Vol 2016 ◽  
pp. 1-11
Author(s):  
Chengwei Ruan ◽  
Haiyan Yang ◽  
Lei Yu ◽  
Yingxin Kou
Keyword(s):  
Particle Swarm Optimization ◽  
Efficient Method ◽  
Particle Swarm ◽  
Optimization Method ◽  
Network Synchronization ◽  
Swarm Optimization ◽  
Hybrid Particle ◽  
Hybrid Particle Swarm Optimization ◽  
Particle Swarm Optimization Method ◽  
Topologic Structure

The paper aims at developing an efficient method to acquire a proper UCAV formation structure with robust and synchronized features. Here we introduce the RTBA (Route Temporary Blindness Avoidance) model to keep the structure stable and the HPSO (hybrid particle swarm optimization) method is given to find an optimal synchronized formation. The major contributions include the following: (1) setting up the dynamic hierarchy topologic structure of UCAV formation; (2) the RTB phenomenon is described and the RTBA model is put forward; (3) the node choosing rules are used to keep the invulnerability of the formation and the detective information quantifying method is given to measure the effectiveness of the connected nodes; and (4) the hybrid particle swarm optimization method is given to find an optimal synchronized topologic structure. According to the related principles and models, the simulations are given in the end, and the results show that the simplification of the model is available in engineering, and the RTBA model is useful to solve the real problems in combat in some degree.

Design on Filter Parameters with Hybrid PSO Algorithm

2013 ◽  
Vol 303-306 ◽  
pp. 1888-1891
Author(s):  
Yi Zhang ◽  
Ke Wen Xia ◽  
Gen Gu
Keyword(s):  
Particle Swarm Optimization ◽  
Fitness Function ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Optimization Method ◽  
Swarm Optimization ◽  
Filter Model ◽  
Hybrid Particle ◽  
Hybrid Particle Swarm Optimization ◽  
Model Setting

In order to solve the problems in the optimization of filter parameters, such as large amounts of calculation and the complicated mathematical hypotheses, an approach to optimize filter parameters is presented based on the Hybrid Particle swarm optimization (HPSO) algorithm, which includes the establishing of filter model, setting up the fitness-function and optimizing filter parameters by HPSO algorithm. The application example shows that the optimization method improves the design accuracy and saves calculation, and HPSO algorithm is superior to PSO algorithm in optimization of filter parameters.

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