An efficient gradient‐based optimization algorithm for mechanical systems
Copyright policy )An efficient gradient‐based optimization algorithm for mechanical systems
AbstractThis paper describes an optimization algorithm based on a special convex approximation technique and a robust numerical solution procedure. The employed approximation technique involves automatic adjustability in order to ensure good convergence properties. Additionally, it guaranties convexity and a special form of the approximate problems. Consequently, these problems can be transformed into very simple and quasi‐unconstrained dual problems which are solved by a robust and reliable numerical solution procedure. A few examples illustrate the use of the algorithm. Copyright © 2002 John Wiley & Sons, Ltd.
- University of Maribor Slovenia
Numerical optimization and variational techniques, convergence, quasi-unconstrained dual problems, mechanical system, convex approximation, gradient-based optimization algorithm, Optimization of other properties in solid mechanics, optimal design, automatic adjustability
Numerical optimization and variational techniques, convergence, quasi-unconstrained dual problems, mechanical system, convex approximation, gradient-based optimization algorithm, Optimization of other properties in solid mechanics, optimal design, automatic adjustability
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