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Journal of Optimization Theory and Applications
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Proceedings of the 8th annual conference on Genetic and evolutionary computation
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Proceedings of the 8th annual conference on Genetic and evolutionary computation
A Trust-Region Algorithm for Global Optimization
Computational Optimization and Applications
A new class of test functions for global optimization
Journal of Global Optimization
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Computational Optimization and Applications
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Computational Optimization and Applications
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Optimization Methods & Software - GLOBAL OPTIMIZATION
Lipschitz and Hölder global optimization using space-filling curves
Applied Numerical Mathematics
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Memetic Strategies for Global Trajectory Optimisation
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
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Computational Optimization and Applications
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Journal of Global Optimization
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Computational Optimization and Applications
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Applied Soft Computing
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Differential evolution methods based on local searches
Computers and Operations Research
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In this paper we will discuss the multilevel structure of global optimization problems. Such problems can often be seen at different levels, the number of which varies from problem to problem. At each level different objects are observed, but all levels display a similar structure. The number of levels which can be recognized for a given optimization problem represents a more complete measure of the difficulty of the problem with respect to the standard measure given by the total number of local minima. Moreover, the subdivision in levels will also suggest the introduction of appropriate tools, which will be different for each level but, in accordance with the fact that all levels display a similar structure, will all be based on a common concept namely that of local move. Some computational experiments will reveal the effectiveness of such tools.