Interior point method for solving optimization problems

Xiong Zhang; Ji Zhou

doi:10.1117/12.217483

28 August 1995 Interior point method for solving optimization problems

Xiong Zhang, Ji Zhou

Proceedings Volume 2620, International Conference on Intelligent Manufacturing; (1995) https://doi.org/10.1117/12.217483
Event: International Conference on Intelligent Manufacturing, 1995, Wuhan, China

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.

Citation Download Citation

Xiong Zhang and Ji Zhou "Interior point method for solving optimization problems", Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); https://doi.org/10.1117/12.217483

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