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Using SVM to combine global heuristics for the Standard Quadratic Problem

Dellepiane, Umberto; Palagi, Laura - In: European Journal of Operational Research 241 (2015) 3, pp. 596-605

The Standard Quadratic Problem (StQP) is an NP-hard problem with many local minimizers (stationary points). In the literature, heuristics based on unconstrained continuous non-convex formulations have been proposed (Bomze & Palagi, 2005; Bomze, Grippo, & Palagi, 2012) but none dominates the other in...

Persistent link: https://www.econbiz.de/10011117495

Europcar integrates forecasting, simulation, and optimization techniques in a capacity and revenue management system

Guillen, Julien; Ruiz, Pierre; Dellepiane, Umberto; … - In: INFORMS journal on applied analytics 49 (2019) 1, pp. 40-51

Persistent link: https://www.econbiz.de/10012024044

Unconstrained formulation of standard quadratic optimization problems

Bomze, Immanuel; Grippo, Luigi; Palagi, Laura - In: TOP: An Official Journal of the Spanish Society of … 20 (2012) 1, pp. 35-51

Persistent link: https://www.econbiz.de/10010557929

An integer black-box optimization model for repairable spare parts management

Bernabei, Giuseppe; Costantino, Francesco; Palagi, Laura; … - In: International journal of information systems and supply … 14 (2021) 2, pp. 46-68

Persistent link: https://www.econbiz.de/10012520746

Branching with hyperplanes in the criterion space : the frontier partitioner algorithm for biobjective integer programming

De Santis, Marianna; Grani, Giorgio; Palagi, Laura - In: European journal of operational research : EJOR 283 (2020) 1, pp. 57-69

Persistent link: https://www.econbiz.de/10012161919