GLOB -- a new VNS-based software for global optimization We describe an application of Variable Neighbourhood Search (VNS) methodology to continuous global optimization problems with box constraints. A general VNS algorithm is implemented within the software package GLOB. The tests are performed on some standard test functions and on a class of NP-hard global optimization problems arising in practice. The computational results show the potential of the new software

References in zbMATH (referenced in 27 articles , 1 standard article )

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  1. Locatelli, Marco; Schoen, Fabio: Global optimization based on local searches (2016)
  2. Sicilia, Juan Antonio; Quemada, Carlos; Royo, Beatriz; Escuín, David: An optimization algorithm for solving the rich vehicle routing problem based on variable neighborhood search and tabu search metaheuristics (2016)
  3. Alonso-Ayuso, Antonio; Escudero, Laureano F.; Martín-Campo, F.Javier; Mladenović, Nenad: A VNS metaheuristic for solving the aircraft conflict detection and resolution problem by performing turn changes (2015)
  4. Drezner, Zvi; Brimberg, Jack; Mladenović, Nenad; Salhi, Said: New heuristic algorithms for solving the planar $p$-median problem (2015)
  5. Kaabi, Hadhami; Jabeur, Khaled; Enneifar, Lamia: Learning criteria weights with TOPSIS method and continuous VNS for multi-criteria inventory classification (2015)
  6. Carrizosa, Emilio; Jocković, Jelena; Ramírez-Cobo, Pepa: A global optimisation approach for parameter estimation of a mixture of double Pareto lognormal and lognormal distributions (2014)
  7. Carrizosa, Emilio; Martín-Barragán, Belén; Morales, Dolores Romero: A nested heuristic for parameter tuning in support vector machines (2014)
  8. Djogatović, Marko S.; Stanojević, Milorad J.; Mladenović, Nenad: A variable neighborhood search particle filter for bearings-only target tracking (2014)
  9. Kocatürk, Fatih; Özpeynirci, Özgür: Variable neighborhood search for the pharmacy duty scheduling problem (2014)
  10. Kovačević, Darko; Mladenović, Nenad; Petrović, Bratislav; Milošević, Pavle: DE-VNS: self-adaptive differential evolution with crossover neighborhood search for continuous global optimization (2014)
  11. Thomas, Barrett W.; Manni, Emanuele: Scheduled penalty variable neighborhood search (2014)
  12. Carrizosa, Emilio; Olivares-Nadal, Alba V.; Ramírez-Cobo, Pepa: Time series interpolation via global optimization of moments fitting (2013)
  13. Locatelli, Marco; Schoen, Fabio: Global optimization based on local searches (2013)
  14. Carrizosa, Emilio; Dražić, Milan; Dražić, Zorica; Mladenović, Nenad: Gaussian variable neighborhood search for continuous optimization (2012)
  15. Kovačević, Darko; Petrović, Bratislav; Milošević, Pavle: Estimating differential evolution crossover parameter with VNS approach for continuous global optimization (2012)
  16. Nesic, Ivan; Rakicevic, Aleksandar; Poledica, Ana; Petrovic, Bratislav: Gaussian variable neighborhood search and enhanced genetic algorithm for continuous optimization (2012)
  17. Spadoni, Massimo; Stefanini, Luciano: A differential evolution algorithm to deal with box, linear and quadratic-convex constraints for boundary optimization (2012)
  18. Benati, Stefano: Heuristic methods for the optimal statistic median problem (2011)
  19. Brest, Janez; Maučec, Mirjam Sepesy: Self-adaptive differential evolution algorithm using population size reduction and three strategies (2011) ioport
  20. Liberti, Leo; Mladenović, Nenad; Nannicini, Giacomo: A recipe for finding good solutions to MINLPs (2011)

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