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An Aggregate Function Method for Constrained Optimization Problems
ZHANG Xinchun *
Research Institute of Electronic Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731
*Correspondence author
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Funding: none
Opened online: 5 July 2013
Accepted by: none
Citation: ZHANG Xinchun.An Aggregate Function Method for Constrained Optimization Problems[OL]. [ 5 July 2013] http://en.paper.edu.cn/en_releasepaper/content/4550149
 
 
In this paper, the aggregate function method (AFM) for constrained optimization problems (COP) is investigated. The AFM is effective for multiple inequality-constrained optimization problems. However, the inherent shortcomings of the AFM, both in convergence and data overflow, seem to have gone unnoticed. To address these issues systematically, some efficient measurements are carried out to deal with such problems, such as adding the stable term and the exponent reduction parameter to the original aggregate function, which are highlighted in the entire paper. Moreover, the corresponding properties of both the AFM and the improved AFM (IAFM) are presented.
Keywords:Constrained optimization problems; aggregate function; optimization
 
 
 

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