نتایج جستجو برای: differential evolution method

تعداد نتایج: 2170267  

2014
R. Prathiba Dr M. Balasingh Moses M. Karuppasamypandiyan

In restructured power market, power producers and customers utilize the transmission network and try to maximize their benefits. Hence it is important to improve the static ATC for allowing more transaction in future without any transmission limit violation. This paper suggests the method for establishing bilateral/multilateral transaction based on the optimal generator selection and it’s shari...

2003
Hui-Yuan Fan Jouni Lampinen George S. Dulikravich

As one of the most promising novel evolutionary algorithms, differential evolution has been demonstrated to be an efficient, effective and robust optimization method for nonlinear optimization. Nevertheless, the convergence rate of differential evolution is still far from ideal when it is applied to optimizing a computationally expensive objective function that is frequently encountered in engi...

Journal: :IJITEE (International Journal of Information Technology and Electrical Engineering) 2017

Journal: :international journal of advanced design and manufacturing technology 0
mohamadmehdi najafzadeh payman shoghi

in this research three-dimensional free vibration analysis of functionally graded circular plate with various boundary conditions is achieved. a semi-analytical method, which makes use of the state space method and the one-dimensional differential quadrature method, is used to obtain the vibration frequencies and dynamic responses of circular plates. numerical results are given to demonstrate t...

2009
F. Zhang F.-S. Zhang C. Lin G. Zhao Y.-C. Jiao

Aiming at improving the radiating characteristics (pattern and polarization) and simplifying the design of feeding network, a new approach is applied and discussed. For uniformly excited planar antenna array, by rotating each element in its local coordinates and determining the rotation angles of the elements, the 3D radiating characteristic of the planar antenna array can be improved. The Diff...

2014
Mariya Lazarova Kalin Penev

This article presents an exploration of Differential Evolution (DE) algorithm with enhanced adaptability. The main purpose of this study is to identify how this search method can cope with changes of the number of variables of a hard design test, unaided. The results clearly show that this method successfully solves the explored functions.

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