A Branch-and-Reduce Approach for Solving Generalized Linear Multiplicative Programming
Chun-Feng Wang,
San-Yang Liu and
Geng-Zhong Zheng
Mathematical Problems in Engineering, 2011, vol. 2011, 1-12
Abstract:
We consider a branch-and-reduce approach for solving generalized linear multiplicative programming. First, a new lower approximate linearization method is proposed; then, by using this linearization method, the initial nonconvex problem is reduced to a sequence of linear programming problems. Some techniques at improving the overall performance of this algorithm are presented. The proposed algorithm is proved to be convergent, and some experiments are provided to show the feasibility and efficiency of this algorithm.
Date: 2011
References: Add references at CitEc
Citations:
Downloads: (external link)
http://downloads.hindawi.com/journals/MPE/2011/409491.pdf (application/pdf)
http://downloads.hindawi.com/journals/MPE/2011/409491.xml (text/xml)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:409491
DOI: 10.1155/2011/409491
Access Statistics for this article
More articles in Mathematical Problems in Engineering from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().