Optimization of the Method to Palletize Firebricks by Robot Based on Pareto Genetic Algorithm

Article Preview

Abstract:

This paper discusses some specific problems in the process of palletizing firebrick by industrial robot, and then discusses the optimization of the palletizing method by proposing two optimization goals. First, a mathematical model containing two objectives for the optimization is constructed according to the palletizing problem. Then, in order to solve this optimization model, this paper uses the Pareto genetic algorithm, and states the procedure of this method in detail. Finally, an example is taken to prove the effect of the optimization model by using MATLAB.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

337-342

Citation:

Online since:

August 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] M. Zhou, S.D. Sun, Application and theory of genetic algorithm, National defence industry press, Beijing, (1999).

Google Scholar

[2] X. He, et al, Stacking optimization of boxed military materials in rear depots based on the Pareto GA, Logistics Technology, 29(8): 142-145, (2010).

Google Scholar

[3] J. Z. Hang, et al, A new genetic algorithm for constrained multi-objective optimization problems, Computer Engineering and Application, 42(23): 47-51, (2006).

Google Scholar

[4] X. P. Wang, Pareto genetic algorithm for multi-objective optimization design, Systems Engineering and Electronics, 25(12): 1558-1561, (2003).

Google Scholar

[5] W. H. Ning, et al, A hybrid genetic algorithm for solving integer programming, Journal of Air Force Engineering University(Natural Science Edition), 5(6): 80-83, (2004).

Google Scholar

[6] C. B. Zhang, et al, Optimization of heat pipe with axial Ω, -shaped micro grooves based on a niched Pareto genetic algorithm (NPGA), Applied Thermal Engineering, 29(16): 3340-3345, (2009).

DOI: 10.1016/j.applthermaleng.2009.05.008

Google Scholar

[7] W. Liu, T. Y. Wang, Optimization of cutting parameters based on Pareto genetic algorithm, Journal of Agricultural Machinery, 42(2): 220-224, (2011).

Google Scholar