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Proceedings Paper

Interior point method for solving optimization problems
Author(s): Xiong Zhang; Ji Zhou
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Paper Abstract

In this paper we present a nonlinear optimization method for solving engineering optimal design problems. In addition to maintaining main advantages of typical recursive quadratic methods, our algorithm uses an interior point quadratic programming (QP) subroutine as its QP solver. An implementation of the algorithm proposed in the paper has been applied to standard test problems and real engineering design problems. As the provided computational results demonstrate, our algorithm is very reliable and efficient for both standard and real optimization problems.

Paper Details

Date Published: 28 August 1995
PDF: 7 pages
Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); doi: 10.1117/12.217483
Show Author Affiliations
Xiong Zhang, Huazhong Univ. of Science and Technology (China)
Ji Zhou, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 2620:
International Conference on Intelligent Manufacturing
Shuzi Yang; Ji Zhou; Cheng-Gang Li, Editor(s)

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