The Research of Timing-Optimal Trajectory Planning Based on Improved Genetic Algorithms

Article Preview

Abstract:

The algorithm has been improved to the adaptive genetic operators and flow based on the basic theory of simple genetic algorithm and adopted elitism strategy to select the best individual for iterative operation. Program the operation process in the MATLAB software. The improved genetic algorithm not only ensured better global search performance, but also improved the convergent speed. The optimal solution was obtained by the improved genetic algorithms under the kinematical constraints.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

562-565

Citation:

Online since:

October 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] M.A. Green: High Efficiency Silicon Solar Cells (Trans Tech Publications, Switzerland 1987).

Google Scholar

[2] Y. Mishing, in: Diffusion Processes in Advanced Technological Materials, edtied by D. Gupta Noyes Publications/William Andrew Publising, Norwich, NY (2004), in press.

Google Scholar

[3] R.J. Ong, J.T. Dawley and P.G. Clem: submitted to Journal of Materials Research (2003).

Google Scholar

[4] P.G. Clem, M. Rodriguez, J.A. Voigt and C.S. Ashley, U.S. Patent 6, 231, 666. (2001).

Google Scholar

[5] Information on http: /www. weld. labs. gov. cn.

Google Scholar