نتایج جستجو برای: real coded genetic algorithm rc ga
تعداد نتایج: 1783761 فیلتر نتایج به سال:
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...
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...
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...
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...
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...
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 dierent numbers of input variables and with dierent structures are jointly optimized. Communicati...
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