Abstract
This paper presents an outcome-space branch and bound algorithm for globally solving the linear multiplicative programming problems, in which we use a new two-level partition technique on rectangles and solve a simple relaxed quasiconcave programming problem at each branch node over outcome-space.We prove that the proposed algorithm is convergent. It can be shown by the numerical results that the proposed algorithm is effective.
The work is supported by the Foundation of National Natural Science in China (No. 10231060), and by the Science Research Project of National Committee in China in 2005, and by the Science Research Project of Ningxia’s Colleges and Universities in 2005.
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© 2005 Springer-Verlag Berlin Heidelberg
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Gao, Y., Xu, C., Yang, Y. (2005). Outcome-Space Branch and Bound Algorithm for Solving Linear Multiplicative Programming. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596448_100
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DOI: https://doi.org/10.1007/11596448_100
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30818-8
Online ISBN: 978-3-540-31599-5
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