A heuristic for global nonlinear optimization

The proposed heuristic combines a variable neighborhood search (VNS) framework with a local search performed by a trust-region algorithm. The curvature of the function is exploited to generate the neighborhoods. Numerical results illustrate an excellent behavior of the method compared to recent heuristics proposed in the literature.


Presented at:
Séminaire du Groupe de Recherche sur les Transports, FUNDP - Université de Namur, Namur, Belgium, April 25, 2007
Year:
2007
Laboratories:




 Record created 2008-02-15, last modified 2018-03-17

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