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Scientific Programming
Volume 2016, Article ID 2148362, 9 pages
http://dx.doi.org/10.1155/2016/2148362
Research Article

Racing Sampling Based Microimmune Optimization Approach Solving Constrained Expected Value Programming

1College of Computer Science, Guizhou University, Guiyang 550025, China
2Department of Big Data Science and Engineering, College of Big Data and Information Engineering, Guizhou University, Guiyang 550025, China

Received 24 December 2015; Accepted 23 February 2016

Academic Editor: Eduardo Rodríguez-Tello

Copyright © 2016 Kai Yang and Zhuhong Zhang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Kai Yang and Zhuhong Zhang, “Racing Sampling Based Microimmune Optimization Approach Solving Constrained Expected Value Programming,” Scientific Programming, vol. 2016, Article ID 2148362, 9 pages, 2016. https://doi.org/10.1155/2016/2148362.