جستجوی مقالات مرتبط با کلیدواژه "cuckoo algorithm" در نشریات گروه "برق"

Parameters of meta-heuristic algorithms are very effective in their performance and are usually done experimentally, which is very time-consuming. In this research, a hybrid method for selecting the optimal parameters of meta-heuristic algorithms is presented. The proposed method is a combination of data envelopment analysis methods and response surface methodology and is called DSM. In fact, this method can be used to optimize multi-objective problems and its main advantage is to create and optimize one performance response procedure instead of optimizing multiple output response procedures. In addition to optimizing parameters, it also simultaneously maximizes efficiency. In this research, the proposed DSM method has been used to adjust the parameters of the cuckoo optimization algorithm to optimize the standard and experimental Aklay and Rastrigin functions. In the hybrid DSM method, first, the efficiency value is calculated using data envelopment analysis for each set of meta-heuristic algorithm parameters, then the response procedure for performance is determined according to the meta-heuristic algorithm parameters using the response surface methodology. Finally, by optimizing the efficiency surface, the optimal values of the cuckoo algorithm parameters are obtained. In order to validate, the results of the proposed method have been compared with a similar method. The results show better performance of the hybrid algorithm in terms of solution time, number of iterations, and accuracy of the optimization function compared to other similar methods.

The high cost and time of implementation of the bridgeworks necessitate the optimization in the structural design. The optimization can extensively reduce the used steel, reinforcement, concrete and the time of doing project. In this study the effect of design elements in optimization of a bridge have been investigated. By definition of cross section geometry, strength of material, location and number of pre-stressing cables as variable and also using Cuckoo algorithm, the best value of variables are selected and the best geometry of cross area is choice. These variables in fact are calculated based on two regulations AASHTO LRFD-2015 and standard 2002 and the results are compared. The results show that the weight minimalist and economic plan are not depended directly because of the effect of concrete, steel and pre-stressed cables and also the high strength concrete used in long bridge span. Finally, for comparison of the bridge span effect, the optimization is carried out for different lengths from 30 to 70 based on the pointed regulations in above and the results are compared