Titlebook: Differential Evolution; A Practical Approach Kenneth V. Price,Rainer M. Storn,Jouni A. Lampinen Textbook 2005 Springer-Verlag Berlin Heidel

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Genetic Basis of Infectious Diseasesdifficult, if at all, to find in other filter design programs. The main design tasks are elaborated, and the approach via differential evolution (DE) with emphasis on objective function design and achieving computational efficiency is explained. Some design examples are presented to show results tha

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Yanyan Zhang,Hongjun Li,Ailin Cheng optimization of radial active magnetic bearings for a spindle drive. The bearings are optimized by differential evolution. The optimization aim is to achieve a maximum force at a minimum mass of the entire construction. Predefined design parameters are the bearing outer diameter, the shaft diameter

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https://doi.org/10.1007/978-94-017-9876-1ifferential evolution (DE) algorithm to automatically and reliably analyze XRR data. A data-fitting method is presented that is conceptually simple, easy to implement and is capable of converging to a global minimum in the parameter space even when there are many additional local minima. The method

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Qi Zhang,Hongjun Li,Xinhua Zhangion algorithm. The principles behind the inverse fractal problem are briefly explained here. The contribution then discusses the use of differential evolution for the solution of the inverse fractal problem and selected results.

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Genetic Algorithms and Related Techniques for Optimizing Si-H Clusters: A Merit Analysis for Differeased upon a non-orthogonal tight-binding model developed for the Si-H system. The energy functional constructed from this model includes contributions of both electronic and pairwise interaction between the atoms and the energy minimization has been carried out using DE. The results are compared wit

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Non-Imaging Optical Design Using Differential Evolutionht from a source to produce a desired light distribution in some target region. Differential evolution uses a cost measure to numerically determine the quality of a proposed solution against a desired solution and various cost measures specific to non-imaging optical design are examined. A reverse e