Stochastic global optimization methods. part 1: clustering methods
Mathematical Programming: Series A and B
Stochastic global optimization methods. part 11: multi level methods
Mathematical Programming: Series A and B
Sphere-packings, lattices, and groups
Sphere-packings, lattices, and groups
Global optimization
Computational Optimization and Applications
Application of Deterministic Low-Discrepancy Sequences in Global Optimization
Computational Optimization and Applications
The reformulation-optimization software engine
ICMS'10 Proceedings of the Third international congress conference on Mathematical software
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Determining the maximum number of D-dimensional spheres of radius r that can be adjacent to a central sphere of radius r is known as the Kissing Number Problem (KNP). The problem has been solved for two, three and very recently for four dimensions. We present two nonlinear (nonconvex) mathematical programming models for the solution of the KNP. We solve the problem by using two stochastic global optimization methods: a Multi Level Single Linkage algorithm and a Variable Neighbourhood Search. We obtain numerical results for two, three and four dimensions.