Improving the performance of weighted Lagrange-multiplier methods for nonlinear constrained optimization

DOI10.1016/S0020-0255(99)00081-XzbMath0961.90112OpenAlexW2045798132MaRDI QIDQ1977849

Tao Wang, Zhe Wu, Yi Shang, Benjamin W.-S. Wah

Publication date: 5 June 2000

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0020-0255(99)00081-x

zbMATH Keywords

nonlinear integer programmingnonlinear programmingnonlinear constrained optimizationadaptive weightsLagrange-multiplier methodmultipliers filter-bank designQMF filter-bank design

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Integer programming (90C10) Nonlinear programming (90C30)

Related Items (1)

Differential evolution in constrained numerical optimization: an empirical study

Cites Work

• Unnamed Item
• A collection of test problems for constrained global optimization algorithms
• Trace-based methods for solving nonlinear global optimization and satisfiability problems
• A discrete Lagrangian-based global-search method for solving satisfiability problems
• An approach to nonlinear programming

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