Comparative assessment of algorithms and software for global optimization

DOI10.1007/s10898-004-9971-3zbMath1093.90043OpenAlexW1999777494MaRDI QIDQ813366

Zelda B. Zabinsky, Charoenchai Khompatraporn, János D. Pintér

Publication date: 8 February 2006

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

Full work available at URL: https://doi.org/10.1007/s10898-004-9971-3

zbMATH Keywords

Global optimizationAnalysis and comparison of algorithms and softwareTest problems and applications

Mathematics Subject Classification ID

Analysis of algorithms (68W40) Nonconvex programming, global optimization (90C26) Software, source code, etc. for problems pertaining to operations research and mathematical programming (90-04)

Related Items (10)

Best practices for comparing optimization algorithms ⋮ How difficult is nonlinear optimization? A practical solver tuning approach, with illustrative results ⋮ Integrated experimental design and nonlinear optimization to handle computationally expensive models under resource constraints ⋮ Global search perspectives for multiobjective optimization ⋮ Model development and solver demonstrations using randomized test problems ⋮ Benchmarking nonlinear optimization software in technical computing environments ⋮ Nonlinear optimization with GAMS /LGO ⋮ A combined global \& local search (CGLS) approach to global optimization ⋮ Global Optimization Toolbox for Maple: an introduction with illustrative applications ⋮ A numerical evaluation of several stochastic algorithms on selected continuous global optimization test problems

Uses Software

• Global Optimization Toolbox For Maple
• GLOPT
• Benchmarks for Optimization Software
• INTOPT_90
• MINPACK-2
• Decision tree for optimization software

Cites Work

• A numerical evaluation of several stochastic algorithms on selected continuous global optimization test problems
• Pure adaptive search in global optimization
• A scaling method for priorities in hierarchical structures
• Global optimization requires global information
• Stochastic methods for practical global optimization
• Stochastic global optimization: Problem classes and solution techniques
• Experiments using interval analysis for solving a circuit design problem
• A class of test functions for global optimization
• A wide class of test functions for global optimization
• Testing Unconstrained Optimization Software
• A set of geometric programming test problems and their solutions
• Benchmarking optimization software with performance profiles.
• Unnamed Item

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