نتایج جستجو برای: binary gravitational search algorithm

تعداد نتایج: 1107280  

2005
Duncan A Brown

The INSPIRAL program is the LIGO Scientific Collaboration’s computational engine for the search for gravitational waves from binary neutron stars and sub-solar mass black holes. We describe how this program, which makes use of the FINDCHIRP algorithm, is integrated into a sophisticated data analysis pipeline that was used in the search for low-mass binary inspirals in data taken during the seco...

2016
S. Klimenko N. Christensen E. A. Huerta V. Tiwari S. R. P. Mohapatra A. Gopakumar M. Haney P. Ajith S. T. McWilliams G. Vedovato M. Drago F. Salemi G. A. Prodi C. Lazzaro S. Tiwari G. Mitselmakher F. Da Silva

"Proposed search for the detection of gravitational waves from eccentric binary black holes. Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Most compact binary sy...

Amin Rastegar Pour, Hassan Barati,

Abstract: One of the equipment that can help improve distribution system status today and reduce the cost of fault time is remote control switches (RCS). Finding the optimal location and number of these switches in the distribution system can be modeled with various objective functions as a nonlinear optimization problem to improve system reliability and cost. In this article, a particle swarm ...

Induction motors are so important in industry, so their protection and maintenance seem a vital issue. Continuous control of structural parameter of such motors is the way that can protect them. Appearance of a small problem in motor can change the value of structural parameter of    squirrel cage induction motor, such as; resistances of stator and rotor, inductances of stator an...

پایان نامه :دانشگاه آزاد اسلامی - دانشگاه آزاد اسلامی واحد تهران مرکزی - دانشکده برق و الکترونیک 1390

there are many approaches for solving variety combinatorial optimization problems (np-compelete) that devided to exact solutions and approximate solutions. exact methods can only be used for very small size instances due to their expontional search space. for real-world problems, we have to employ approximate methods such as evolutionary algorithms (eas) that find a near-optimal solution in a r...

Journal: :journal of advances in computer research 2015
mehran taghipour-gorjikolaie seyyed mohammad razavi mohammad ali shamsinejad

extension of inter-turn fault in windings of pmsm can damage all parts of electrical systems, and in some cases in sensitive applications may lead to irreparable events. identification of such small faults at incipient steps can be so helpful to protect entire part of electrical system. in this paper, intelligent protection system is designed which is made by two major parts. in the first part ...

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...

Journal: :journal of advances in computer research 2015
mehran taghipour-gorjikolaie mohammad yazdani-asrami s. asghar gholamian s. mohammad razavi

one of the major problems that may occur in the differential protection systems of power transformers is mal-operation of the protection relays in sake of internal fault detection, because of similarity between this current and inrush current. this paper presents a novel approach for discriminating inrush current from internal fault in power transformers based on improved gravitational search a...

Wind Power generation integrated in electrical power system can cause of variation and uncertainty which must be considered in process of generation expansion planning (GEP). The goal of this study is to model the GEP problem integrated with wind power generation and introduce the fuzzy-probability model to consider variation and uncertainty of wind power generation. To verify and optimize the ...

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