Global optimization algorithms for a cad workstation
Journal of Optimization Theory and Applications
A collection of test problems for constrained global optimization algorithms
A collection of test problems for constrained global optimization algorithms
Global optimization and simulated annealing
Mathematical Programming: Series A and B
Application of stochastic global optimization algorithms to practical problems
Journal of Optimization Theory and Applications
A Numerical Comparison of Some Modified Controlled Random SearchAlgorithms
Journal of Global Optimization
Parallel Simulated Annealing Algorithms in Global Optimization
Journal of Global Optimization
Population set-based global optimization algorithms: some modifications and numerical studies
Computers and Operations Research
On the Convergence of a Population-Based Global Optimization Algorithm
Journal of Global Optimization
TRIOPT: a triangulation-based partitioning algorithm for global optimization
Journal of Computational and Applied Mathematics
Application of Deterministic Low-Discrepancy Sequences in Global Optimization
Computational Optimization and Applications
Matching Stochastic Algorithms to Objective Function Landscapes
Journal of Global Optimization
Comparative Assessment of Algorithms and Software for Global Optimization
Journal of Global Optimization
A Combined Global & Local Search (CGLS) Approach to Global Optimization
Journal of Global Optimization
Measurement of sinusoidal vibration from motion blurred images
Pattern Recognition Letters
Differential evolution algorithms using hybrid mutation
Computational Optimization and Applications
Modified movement force vector in an electromagnetism-like mechanism for global optimization
Optimization Methods & Software - THE JOINT EUROPT-OMS CONFERENCE ON OPTIMIZATION, 4-7 JULY, 2007, PRAGUE, CZECH REPUBLIC, PART II
A global optimization based on physicomimetics framework
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Lipschitz and Hölder global optimization using space-filling curves
Applied Numerical Mathematics
TRIOPT: a triangulation-based partitioning algorithm for global optimization
Journal of Computational and Applied Mathematics
Tuning optimization algorithms for real-world problems by means of surrogate modeling
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Benchmarking evolutionary algorithms: towards exploratory landscape analysis
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
Niching foundations: basin identification on fixed-property generated landscapes
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Extending the GA-EDA hybrid algorithm to study diversification and intensification in GAs and EDAs
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
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There is a lack of a representative set of test problems for comparing global optimization methods. To remedy this a classification of essentially unconstrained global optimization problems into unimodal, easy, moderately difficult, and difficult problems is proposed. The problem features giving this classification are the chance to miss the region of attraction of the global minimum, embeddedness of the global minimum, and the number of minimizers. The classification of some often used test problems are given and it is recognized that most of them are easy and some even unimodal. Global optimization solution techniques treated are global, local, and adaptive search and their use for tackling different classes of problems is discussed. The problem of fair comparison of methods is then adressed. Further possible components of a general global optimization tool based on the problem classes and solution techniques is presented.