Test problem generator by neural network for algorithms that try solving nonlinear programming problems globally

DOI10.1023/A:1008306323448zbMath0962.90037OpenAlexW45112642MaRDI QIDQ1580431

Degang Liu, Xiang-Sun Zhang

Publication date: 14 September 2000

Published in: Journal of Global Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1008306323448

zbMATH Keywords

global solutionnonlinear programmingfeedforward networktest problem generation

Mathematics Subject Classification ID

Programming involving graphs or networks (90C35) Nonconvex programming, global optimization (90C26) Nonlinear programming (90C30)

Related Items (3)

Best practices for comparing optimization algorithms ⋮ Benchmarking nonlinear optimization software in technical computing environments ⋮ Tuning Algorithms for Stochastic Black-Box Optimization: State of the Art and Future Perspectives

This page was built for publication: Test problem generator by neural network for algorithms that try solving nonlinear programming problems globally