A dynamic penalty function method for the solution of structural optimization problems
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Publication:1337236
DOI10.1016/0307-904X(94)90307-7zbMath0807.73046MaRDI QIDQ1337236
W. J. Roux, Nielen Stander, Johannes Arnoldus Snyman
Publication date: 30 October 1994
Published in: Applied Mathematical Modelling (Search for Journal in Brave)
constrained optimizationquadratic subproblemsdynamic trajectory methodDYNAMIC-\(Q\) methodminimum weight structuressuccessive application
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Uses Software
Cites Work
- Unnamed Item
- An improved version of the original leap-frog dynamic method for unconstrained minimization: LFOP1(b)
- A multi-start global minimization algorithm with dynamic search trajectories
- A convergent dynamic method for large minimization problems
- A new and dynamic method for unconstrained minimization
- Penalty function solutions to optimal control problems with general constraints via a dynamic optimisation method
- A study of mathematical programmingmethods for structural optimization. Part II: Numerical results
- UNCONSTRAINED MINIMIZATION BY COMBINING THE DYNAMIC AND CONJUGATE GRADIENT METHODS
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