An Improved Hybrid Particle Swarm Optimization Method for Distribution Network Planning

Author(s):  
Xian Zhang ◽  
Jinsha Yuan ◽  
Xueming Yang
Author(s):  
Chun-Te Lee ◽  
Chun-Che Lee

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.


2016 ◽  
Vol 2016 ◽  
pp. 1-11
Author(s):  
Chengwei Ruan ◽  
Haiyan Yang ◽  
Lei Yu ◽  
Yingxin Kou

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.


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