A heuristic iterated-subspace minimization method with pattern search for unconstrained optimization

DOI10.1016/j.camwa.2009.07.067zbMath1189.90162OpenAlexW2075219754MaRDI QIDQ979825

Linping Sun, Hu Shao, Ting Wu, Yingsha Yang

Publication date: 28 June 2010

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

Full work available at URL: https://doi.org/10.1016/j.camwa.2009.07.067

zbMATH Keywords

pattern searchderivative-free optimizationiterated subspace

Mathematics Subject Classification ID

Nonlinear programming (90C30) Numerical optimization and variational techniques (65K10)

Related Items (3)

Hybrid pattern search and simulated annealing for fuzzy production planning problems ⋮ Hill-Climbing Algorithm with a Stick for Unconstrained Optimization Problems ⋮ Hypersonic flight vehicle trajectory optimization using pattern search algorithm

Uses Software

• minpack

Cites Work

• A quasi-Newton based pattern search algorithm for unconstrained optimization
• Generalized conjugate directions
• More test examples for nonlinear programming codes
• Supermemory descent methods for unconstrained minimization
• Objective-derivative-free methods for constrained optimization
• Solving unconstrained optimization problem with a filter-based nonmonotone pattern search algorithm
• Memory gradient method for the minimization of functions
• Study on a supermemory gradient method for the minimization of functions
• On the Convergence of Grid-Based Methods for Unconstrained Optimization
• On the Convergence of Pattern Search Algorithms
• On Variable-Metric Methods for Sparse Hessians
• Testing Unconstrained Optimization Software
• Direct Search Methods on Parallel Machines
• Frames and Grids in Unconstrained and Linearly Constrained Optimization: A Nonsmooth Approach
• A conjugate direction implementation of the BFGS algorithm with automatic scaling
• A Comparison of Several Current Optimization Methods, and the use of Transformations in Constrained Problems
• Theory of Positive Linear Dependence
• Frame based methods for unconstrained optimization
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