On the limited memory BFGS method for large scale optimization
Mathematical Programming: Series A and B
Global Optimization on Funneling Landscapes
Journal of Global Optimization
Efficient Algorithms for Large Scale Global Optimization: Lennard-Jones Clusters
Computational Optimization and Applications
On the multilevel structure of global optimization problems
Computational Optimization and Applications
A Population-based Approach for Hard Global Optimization Problems based on Dissimilarity Measures
Mathematical Programming: Series A and B
Global Optimization of Morse Clusters by Potential Energy Transformations
INFORMS Journal on Computing
An experimental analysis of a population based approach for global optimization
Computational Optimization and Applications
Optimization Methods & Software - GLOBAL OPTIMIZATION
Self-adaptive mate choice for cluster geometry optimization
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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In this paper we present our experience with the optimization of atomic clusters under the binary Lennard-Jones potential. This is a generalization of the single atom type Lennard-Jones model to the case in which atoms of two different types (and 'sizes') interact within the same cluster. This problem has a combinatorial structure which increases complexity and requires strategies to be revised in order to take into account such new aspects. Our approach has been a very effective one: we have been able not only to confirm most putative optima listed in the Cambridge Cluster Database, but also to find 95 improved solutions.