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- W2493736182 abstract "The present chapter deals with optimum design of structures for earthquake induced loads by taking into account nonlinear time history structural response. As the structural seismic optimization is a time consuming and computationally intensive task, in this chapter, a methodology is proposed to reduce the computational burden. The proposed methodology consists of an efficient optimization algorithm and a hybrid neural network system to effectively predict the nonlinear time history responses of structures. The employed optimization algorithm is a modified cellular genetic algorithm which reduces the required generation numbers compared with the standard genetic algorithm. Also, the hybrid neural network system is a combination of probabilistic and generalized regression neural networks. Numerical results demonstrate the computational merits of the proposed methodology for seismic design optimization of structures." @default.
- W2493736182 created "2016-08-23" @default.
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- W2493736182 date "2012-05-10" @default.
- W2493736182 modified "2023-09-27" @default.
- W2493736182 title "Optimum Design of Structures for Earthquake Loading by a Cellular Evolutionary Algorithm and Neural Networks" @default.
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- W2493736182 doi "https://doi.org/10.4018/978-1-4666-1640-0.ch012" @default.
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