A Robust Conjugate-Gradient-Penalty Function Algorithm for Solving General Constrained Optimization Problems with Application to Computer-Aided Design

An exact penalty function type of algorithm is proposed to solve a general class of constrained parameter optimization problems. Some standard test functions are included to show the performance of the algorithm, and an application of the algorithm is made to solve some computer-aided design problem...

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Bibliographic Details
Published inIFAC Proceedings Volumes Vol. 11; no. 1; pp. 1049 - 1056
Main Authors Gesing, W., Davison, E.J.
Format Journal Article
LanguageEnglish
Published 1978
Subjects
computational methods
computer-aided system design
Nonlinear programming
computational methods
computer-aided system design
Nonlinear programming
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Summary:An exact penalty function type of algorithm is proposed to solve a general class of constrained parameter optimization problems. Some standard test functions are included to show the performance of the algorithm, and an application of the algorithm is made to solve some computer-aided design problems occurring in the area of control system synthesis.
ISSN:1474-6670
DOI:10.1016/S1474-6670(17)66053-1