نتایج جستجو برای: real coded genetic algorithm rc ga

تعداد نتایج: 1783761  

2012
Ranjit Kaur

Abstract— A real coded genetic algorithm is applied for designing infinite impulse response (IIR) filter based on L1approximation error criterion. The proposed real coded genetic algorithm, which is a technique for optimization inspired by genetics and natural evolution method, enhances the search capability and provides a fast convergence for calculating the optimal filter coefficients. The fi...

Journal: :Journal of Intelligent Learning Systems and Applications 2015

Journal: : 2021

Genetic algorithm (GA) and differential evolution (DE) are metaheuristic algorithms that have shown a favorable performance in the optimization of complex problems. In recent years, only GA has been widely used for single-objective optimal design reinforced concrete (RC) structures; however, it applied multiobjective steel structures. this article, total structural cost roof displacement consid...

Journal: :journal of electrical and computer engineering innovations 2013
m. h. refan a. dameshghi

if both reference station (rs) and navigational device in differential global positioning system (dgps) receive signals from the same satellite, rs position components error (rpce) can be used to compensate for navigational device error. this research used hybrid method for rpce prediction which was collected by a low-cost gps receiver. it is a combination of genetic algorithm (ga) computing an...

2015
Pushpalata Pujari Babita Majhi

Character recognition has great importance in present scenario. It has many application areas in the field of business, postal system, banking, library, form processing, document processing etc. A highly efficient character recognition system is required for such type of applications. Various authors have used different classifiers, mainly based on neural networks for this purpose. As BackPropa...

Journal: :Inf. Sci. 2013
Omar Abdul-Rahman Masaharu Munetomo Kiyoshi Akama

Real parameter constrained problems are an important class of optimization problems that are encountered frequently in a variety of real world problems. On one hand, Genetic Algorithms (GAs) are an efficient search metaheuristic and a prominent member within the family of Evolutionary Algorithms (EAs), which have been applied successfully to global optimization problems. However, genetic operat...

Journal: :Int. J. Approx. Reasoning 2001
Ignacio Rojas Jesús González Héctor Pomares Fernando Rojas Ruiz F. J. Fernández Alberto Prieto

In this paper, a real-coded genetic algorithm (GA) is proposed capable of simultaneously optimizing the structure of a system (number of inputs, membership functions and rules) and tuning the parameters that de®ne the fuzzy system. A multideme GA system is used in which various fuzzy systems with di€erent numbers of input variables and with di€erent structures are jointly optimized. Communicati...

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