Nonlinear programming: theory, algorithms, and applications
Nonlinear programming: theory, algorithms, and applications
Global optimization algorithms for a cad workstation
Journal of Optimization Theory and Applications
Global optimization
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
A direct search algorithm for global optimisation of multivariate functions
Australian Computer Journal
Global optimization of composite laminates using improving hit and run
Recent advances in global optimization
A deterministic algorithm for global optimization
Mathematical Programming: Series A and B
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Application of stochastic global optimization algorithms to practical problems
Journal of Optimization Theory and Applications
Testing Unconstrained Optimization Software
ACM Transactions on Mathematical Software (TOMS)
Evolution and Optimum Seeking: The Sixth Generation
Evolution and Optimum Seeking: The Sixth Generation
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Journal of Global Optimization
Population set-based global optimization algorithms: some modifications and numerical studies
Computers and Operations Research
Comparative Assessment of Algorithms and Software for Global Optimization
Journal of Global Optimization
ACM Transactions on Mathematical Software (TOMS)
Comparative Assessment of Algorithms and Software for Global Optimization
Journal of Global Optimization
A hybrid heuristic for the maximum clique problem
Journal of Heuristics
A testbed of simulation-optimization problems
Proceedings of the 38th conference on Winter simulation
Nonlinear optimization with GAMS /LGO
Journal of Global Optimization
A novel population initialization method for accelerating evolutionary algorithms
Computers & Mathematics with Applications
Differential evolution algorithms using hybrid mutation
Computational Optimization and Applications
An analytically derived cooling schedule for simulated annealing
Journal of Global Optimization
A particle swarm pattern search method for bound constrained global optimization
Journal of Global Optimization
Journal of Global Optimization
Journal of Global Optimization
The interacting-particle algorithm with dynamic heating and cooling
Journal of Global Optimization
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
Adaptive parameterized improving hit-and-run for global optimization
Optimization Methods & Software - GLOBAL OPTIMIZATION
Dynamic filters and randomized drivers for the multi-start global optimization algorithm MSNLP
Optimization Methods & Software - GLOBAL OPTIMIZATION
A review of recent advances in global optimization
Journal of Global Optimization
A simulated annealing driven multi-start algorithm for bound constrained global optimization
Journal of Computational and Applied Mathematics
Stopping and restarting strategy for stochastic sequential search in global optimization
Journal of Global Optimization
Differential evolution and threshold accepting hybrid algorithm for unconstrained optimisation
International Journal of Bio-Inspired Computation
Synthesis of an approximate feedback nonlinear control based on optimization methods
WSEAS Transactions on Systems and Control
Genetic regulatory network-based symbiotic evolution
Expert Systems with Applications: An International Journal
Differential evolution with generalized differentials
Journal of Computational and Applied Mathematics
Natural Computing: an international journal
Theory and Use of the EM Algorithm
Foundations and Trends in Signal Processing
Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions
Information Sciences: an International Journal
Stochastic algorithms assessment using performance profiles
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Real-space evolutionary annealing
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Annealing evolutionary stochastic approximation Monte Carlo for global optimization
Statistics and Computing
Random lines: a novel population set-based evolutionary global optimization algorithm
EuroGP'11 Proceedings of the 14th European conference on Genetic programming
Novel fish swarm heuristics for bound constrained global optimization problems
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part III
Pattern discrete and mixed Hit-and-Run for global optimization
Journal of Global Optimization
Calibrating artificial neural networks by global optimization
Expert Systems with Applications: An International Journal
Particle swarm algorithm with hybrid mutation strategy
Applied Soft Computing
A metamodel-assisted evolutionary algorithm for expensive optimization
Journal of Computational and Applied Mathematics
Self-adaptive randomized and rank-based differential evolution for multimodal problems
Journal of Global Optimization
Low dimensional simplex evolution: a new heuristic for global optimization
Journal of Global Optimization
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
Free Search with Adaptive Differential Evolution Exploitation and Quantum-Inspired Exploration
Journal of Network and Computer Applications
A novel meta-heuristic optimization algorithm: current search
AIKED'12 Proceedings of the 11th WSEAS international conference on Artificial Intelligence, Knowledge Engineering and Data Bases
A modified harmony search threshold accepting hybrid optimization algorithm
MIWAI'11 Proceedings of the 5th international conference on Multi-Disciplinary Trends in Artificial Intelligence
Artificial fish swarm algorithm for unconstrained optimization problems
AMERICAN-MATH'12/CEA'12 Proceedings of the 6th WSEAS international conference on Computer Engineering and Applications, and Proceedings of the 2012 American conference on Applied Mathematics
Adaptive probabilistic branch and bound for level set approximation
Proceedings of the Winter Simulation Conference
A modification to classical evolutionary programming by shifting strategy parameters
Applied Intelligence
Line search methods with variable sample size for unconstrained optimization
Journal of Computational and Applied Mathematics
Artificial bee colony algorithm and pattern search hybridized for global optimization
Applied Soft Computing
Power law-based local search in differential evolution
International Journal of Computational Intelligence Studies
Multilocal programming: a derivative-free filter multistart algorithm
ICCSA'13 Proceedings of the 13th international conference on Computational Science and Its Applications - Volume 1
Certification of bounds of non-linear functions: the templates method
CICM'13 Proceedings of the 2013 international conference on Intelligent Computer Mathematics
Global optimization using a genetic algorithm with hierarchically structured population
Journal of Computational and Applied Mathematics
A modified harmony search method for wind generator design
International Journal of Bio-Inspired Computation
Higher and lower-level knowledge discovery from Pareto-optimal sets
Journal of Global Optimization
An optimization algorithm inspired by musical composition
Artificial Intelligence Review
Evolutionary annealing: global optimization in measure spaces
Journal of Global Optimization
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There is a need for a methodology to fairly compare and present evaluation study results of stochastic global optimization algorithms. This need raises two important questions of (i) an appropriate set of benchmark test problems that the algorithms may be tested upon and (ii) a methodology to compactly and completely present the results. To address the first question, we compiled a collection of test problems, some are better known than others. Although the compilation is not exhaustive, it provides an easily accessible collection of standard test problems for continuous global optimization. Five different stochastic global optimization algorithms have been tested on these problems and a performance profile plot based on the improvement of objective function values is constructed to investigate the macroscopic behavior of the algorithms. The paper also investigates the microscopic behavior of the algorithms through quartile sequential plots, and contrasts the information gained from these two kinds of plots. The effect of the length of run is explored by using three maximum numbers of function evaluations and it is shown to significantly impact the behavior of the algorithms.