About this Journal Submit a Manuscript Table of Contents
Mathematical Problems in Engineering
Volume 2012 (2012), Article ID 841410, 36 pages
http://dx.doi.org/10.1155/2012/841410
Research Article

Solving Constrained Global Optimization Problems by Using Hybrid Evolutionary Computing and Artificial Life Approaches

Department of Business Administration, Lunghwa University of Science and Technology, No. 300, Section 1, Wanshou Road, Guishan, Taoyuan County 333, Taiwan

Received 28 February 2012; Revised 15 April 2012; Accepted 19 April 2012

Academic Editor: Jung-Fa Tsai

Copyright © 2012 Jui-Yu Wu. 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

Jui-Yu Wu, “Solving Constrained Global Optimization Problems by Using Hybrid Evolutionary Computing and Artificial Life Approaches,” Mathematical Problems in Engineering, vol. 2012, Article ID 841410, 36 pages, 2012. doi:10.1155/2012/841410