نتایج جستجو برای: هوش ازدحامی ذرات pso
تعداد نتایج: 35334 فیلتر نتایج به سال:
A new filtering algorithm — PSO-UPF was proposed for nonlinear dynamic systems. Basing on the concept of re-sampling, particles with bigger weights should be re-sampled more time, and in the PSO-UPF, after calculating the weight of particles, some particles will join in the refining process, which means that these particles will move to the region with higher weights. This process can be regard...
This paper presents a comprehensive study on monoand multi-objective approaches for electrical distribution network design using particle swarmoptimization (PSO). Specifically, two distribution network design problems, i.e., static and expansion planning, are solved using PSO. The network planning involves optimization of both network topology and branch conductor sizes. Both the planning probl...
با پیشرفت روز افزون تکنولوژی های جمع آوری اطلاعات و امکان دسترسی به حجم عظیمی از داده همواره نیازمند روش هایی برای تجزیه و تحلیل این حجم داده خام و استخراج اطلاعات مفید از آن می باشیم. چگونگی استخراج اطلاعات مفید از میان این داده های خام همواره یکی از سوالات اساسی در علوم کامپیوتر بوده است و داده کاوی یکی از مهمترین روش های حل این مسئله است. خوشه بندی داده نیز از پرکاربردترین زمینه های داده کاو...
The particle swarm optimizer (PSO) is a stochastic, populationbased optimization technique that can be applied to a wide range of applications. This paper presents a random time variable PSO algorithm, called the PSO-RTVIWAC, introducing random timevarying inertia weight and acceleration coefficients to significantly improve the performance of the original algorithms. The PSO-RTVIWAC method ori...
Pomegranate seed oil (PSO), which is the major source of conjugated linolenic acids such as punicic acid (PuA), exhibits strong anti-inflammatory properties. Necrotizing enterocolitis (NEC) is a devastating disease associated with severe and excessive intestinal inflammation. The aim of this study was to evaluate the effects of orally administered PSO on the development of NEC, intestinal epith...
This paper proposes an improved version of particle swarm optimization (PSO) algorithm for the training of a neural network (NN). An architecture for the NN trained by PSO (standard PSO, improved PSO) is also introduced. This architecture has a data preprocessing mechanism which consists of a normalization module and a data-shuffling module. Experimental results showed that the NN trained by im...
This is a review paper. Review is carried out in three parts. First part covered up the introduction to PSO algorithm, load balancing based on PSO and multi objective job shop scheduling by improved PSO. Second part of this paper focused on workflow scheduling in cloud based on various versions of PSO. Third part explained PSO with cloud model with a little result analysis. This survey is done ...
The Particle Swarm Optimiser (PSO) is a population based stochastic optimisation algorithm, empirically shown to be efficient and robust. This paper provides a proof to show that the original PSO does not have guaranteed convergence to a local optimum. A flaw in the original PSO is identified which causes stagnation of the swarm. Correction of this flaw results in a PSO algorithm with guarantee...
This paper presents a method for data model partitioning of power distribution network. Modern Distribution Management Systems which utilize multiprocessor systems for efficient processing of large data model are considered. The data model partitioning is carried out for parallelization of analytical power calculations. The proposed algorithms (Particle Swarm Optimization (PSO) and distributed ...
روش h2h? یک روش پیشرفته برای طراحی کنترل کننده مقاوم و بهینه برای سیستم هایی دارای عدم قطعیت است. طراحی کنترل کننده مقاوم h2h? یک مسئله پیچیده و غیر همگرا است و حل ان با استفاده از روش های مرسوم مشکل است. برای غلبه بر این مشکل از الگوریتم های سیر تکاملی استفاده می شود. در طراحی کنترل کننده به روش h2h? با استفاده از الگوریتم های هوشمند، ویژیگی های مطلوب زمانی و فرکانسی با هم برای طراحی کنترل کنن...
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