نتایج جستجو برای: synchronization fractional order delayed chaotic system particle swarm optimization

تعداد نتایج: 3384201  

Journal: :Signal, Image and Video Processing 2012
Micael S. Couceiro Rui P. Rocha Nuno M. Fonseca Ferreira José António Tenreiro Machado

One of the most well-known bio-inspired algorithms used in optimization problems is the particle swarm optimization (PSO), which basically consists on a machinelearning technique loosely inspired by birds flocking in search of food. More specifically, it consists of a number of particles that collectively move on the search space in search of the global optimum. The Darwinian particle swarm opt...

Lashkar Ara, Afshin , Moradi, Elahe ,

Abstract: This paper is intended to reduce the cost of producing fuel from thermal power plants using the problem of economic distribution. This means that in order to determine the share of each unit, considering the amount of consumption and restrictions, including the ones that can be applied to the rate of increase, the prohibited operating areas and the barrier of the vapor barrier, the pr...

2009
Yunyang Yan Zhibo Guo Jingyu Yang

Electric power line overhaul plan is an important issue on power system and engineering practice. As particle swarm optimization is to be a new intelligent algorithm. It is gradually applied into power system these years. This paper provides a relative mathematical model to solve the problems in power line overhaul. Particle swarm optimization algorithm has advantages of less parameters setting...

2014
Ram Garg Geeta Jain

In this paper, Backstepping method is proposed to synchronize two fractional-order systems. The simulation results show that this method can effectively synchronize two chaotic systems. Keywords—Backstepping method, Fractional order, Synchronization.

2017
Hodjatollah Hamidi Atefeh Daraei

In this article the hybrid optimization algorithm of differential evolution and particle swarm is introduced for designing the fuzzy rule base of a fuzzy controller. For a specific number of rules, a hybrid algorithm for optimizing all open parameters was used to reach maximum accuracy in training. The considered hybrid computational approach includes: opposition-based differential evolution al...

Journal: :journal of chemical and petroleum engineering 2014
abdolnabi hashemi afshin ghanbarzadeh siamak hosseini

the dogleg severity is one of the most important parameters in directional drilling. improvement of these indicators actually means choosing the best conditions for the directional drilling in order to reach the target point. selection of high levels of the dogleg severity actually means minimizing well trajectory, but on the other hand, increases fatigue in drill string, increases torque and d...

2017
Xiaoyan Yang Heng Liu Shenggang Li

*Correspondence: [email protected] 2Department of Applied Mathematics, Huainan Normal University, Huainan, 232038, China Full list of author information is available at the end of the article Abstract By constructing two scaling matrices, i.e., a function matrix (t) and a constant matrix W which is not equal to the identity matrix, a kind ofW – (t) synchronization between fractional-order an...

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