نتایج جستجو برای: hybrid particle swarm optimization algorithm

تعداد نتایج: 1272720  

2013
Yadwinder Kumar

Digital filters have found important applications in an increasing number of fields in science and engineering, and design techniques have been developed to achieve desired filter characteristics. This paper presents an optimization technique for the design of optimal digital FIR low pass filter. The design of digital FIR filters possible by solving a system of linear equations. In this paper, ...

Journal: :journal of advances in computer research 2015
sahra khazaei abdolhossein tahani mohammad yazdani-asrami s. asghar gholamian

in this paper, the optimal design of a three phase surface mounted permanent magnet synchronous motor has been done by particle swarm optimization and bees algorithm. this machine has been designed for high speed applications, and an epoxy and glass fiber bandage is used for permanent magnet protection against centrifugal forces. the optimization has been done by new design equations to improve...

Journal: :international journal of smart electrical engineering 2015
akbar maleki fathollah pourfayaz

the power supply of remote sites and applications at minimal cost and with low emissions is an important issue when discussing future energy concepts. this paper presents modeling and optimization of a photovoltaic (pv)/wind/diesel system with batteries storage for electrification to an off-grid remote area located in rafsanjan, iran. for this location, different hybrid systems are studied and ...

ژورنال: محاسبات نرم 2015

Determining the optimum number of nodes, number of hidden layers, and synaptic connection weights in an artificial neural network (ANN) plays an important role in the performance of this soft computing model. Several methods have been proposed for weights update (training) and structure selection of the ANNs. For example, the error back-propagation (EBP) is a traditional method for weights...

2017
V. Jagan Mohan T. Arul Dass Albert

Abstract—In real world applications, optimization is an inevitable stage in any engineering design. In recent days the optimization theory is also fused into other sciences which require precision in its final result. This topic sounds like a promising domain for research almost in all areas of science and technology. Perhaps several solution methods are proposed for solving problems that requi...

2011
Weng Cho Chew B. Mhamdi K. Grayaa

Recently, the use of the particle swarm optimization (PSO) technique for the reconstruction of microwave images has received increasing interest from the optimization community due to its simplicity in implementation and its inexpensive computational overhead. However, the basic PSO algorithm is easily trapping into local minimum and may lead to the premature convergence. When a local optimal s...

2015
M. Andalib

The genetic algorithm (GA) is an evolutionary optimization algorithm operating based upon reproduction, crossover and mutation. On the other hand, particle swarm optimization (PSO) is a swarm intelligence algorithm functioning by means of inertia weight, learning factors and the mutation probability based upon fuzzy rules. In this paper, particle swarm optimization in association with genetic a...

2017
Tao Zhang

Bilevel programming problem (BLP) is a nested optimization problem that contains one optimization task as a constraint to another optimization task. In this paper, a hybrid differential evolution and particle swarm (DE-PSO) is proposed for solving the linear BLP, in which the hybrid strategy can efficiently prevent the premature convergence of the swarm. Finally, we use the test problems from t...

This paper presents a control strategy developed for optimizing the power flow in a Fuel Cell Hybrid Vehicle structure. This method implements an on-line power management based on the optimal fuzzy controller between dual power sources that consist of a battery bank and a Fuel Cell (FC). The power management strategy in the hybrid control structure is crucial for balancing between efficiency an...

2007
Wei-Ping Lee Cheng-Wen Chiang

According to researches, activation was a minor strategy of improving Particle Swarm Algorithm. For proofing the possibility of activation strategy could be a main strategy for improving Particle Swarm Algorithm, this article adopt the concept of mutation in Genetic Algorithm to improve Particle Swarm Optimization. The experimental results show three advantages for the activation strategies. Fi...

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