The dynamic-Q optimization method: an alternative to SQP?

DOI10.1016/S0898-1221(02)00281-XzbMath1044.90078MaRDI QIDQ1416366

A. M. Hay, Jan A. Snyman

Publication date: 14 December 2003

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

zbMATH Keywords

Constrained optimizationprogrammingSuccessive approximationsSequential quadratic

Mathematics Subject Classification ID

Nonlinear programming (90C30) Methods of successive quadratic programming type (90C55)

Related Items (13)

Investigation of the applicability of the dynamic-Q optimisation algorithm to vehicle suspension design ⋮ Incomplete series expansion for function approximation ⋮ The application of gradient-only optimization methods for problems discretized using non-constant methods ⋮ Approximated approximations for SAO ⋮ Gradient-only approaches to avoid spurious local minima in unconstrained optimization ⋮ A multi-level optimization methodology for determining the dextrous workspaces of planar parallel manipulators ⋮ Optimal structural design of a planar parallel platform for machining ⋮ Gradient-based approximation methods applied to the optimal design of vehicle suspension systems using computational models with severe inherent noise ⋮ A quadratic approximation for structural topology optimization ⋮ Efficient optimisation of a vehicle suspension system, using a gradient-based approximation method. I: mathematical modelling ⋮ Efficient optimisation of a vehicle suspension system, using a gradient-based approximation method. II: optimisation results ⋮ Dynamic search trajectory methods for global optimization ⋮ An improved version of DYNAMIC-Q for simulation-based optimization using response surface gradients and an adaptive trust region

Cites Work

• An improved version of the original leap-frog dynamic method for unconstrained minimization: LFOP1(b)
• Test examples for nonlinear programming codes
• A new and dynamic method for unconstrained minimization
• A dynamic penalty function method for the solution of structural optimization problems
• The LFOPC leap-frog algorithm for constrained optimization
• Algorithms for nonlinear constraints that use lagrangian functions
• Using CFD and mathematical optimization to investigate air pollution due to stacks
• Using mathematical optimization in the CFD analysis of a continuous quenching process
• The spherical quadratic steepest descent (SQSD) method for unconstrained minimization with no explicit line searches

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