Homepage of Dolores Romero Morales

 

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 email: dolores.romero-morales@sbs.ox.ac.uk My links
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News


Short CV:

  • PhD in Operations Research from Erasmus University Rotterdam

  • BSc and MSc in Mathematics from Universidad de Sevilla

CV


Research interests:

My main research streams are Supply Chain Optimization, Data Mining and Revenue Management: 

  • Supply chains and their carbon footprint

  • Uncertainty in supply chain planning

  • Mathematical Optimization tools for Supervised Classification

  • Support Vector Machines and interpretability

  • Nonlinear bid prices for Network Revenue Management

  • Decomposition techniques for Network Revenue Management

The common denominator to these research topics is the use of Combinatorial Optimization/Multi Objective Programming techniques to approach them.

 


Publications in journals:

  1. E. Carrizosa, A. Nogales-Gómez, D. Romero Morales, Heuristic approaches for Support Vector Machines with the Ramp Loss. Forthcoming in Optimization Letters 8:1125-1135, 2014. Abstract.
  2. E. Carrizosa, B. Martín-Barragán, D. Romero Morales, A nested heuristic for parameter tuning in Support Vector Machines, Computers and Operations Research 43:328-33, 2014. Abstract.
  3. D. Romero Morales, R. Steinberg, Revenue Deficiency under Second-Price Auctions in a Supply-Chain Setting, European Journal of Operational Research 233:131-144, 2014. Abstract.
  4. L.F. Escudero, J.F. Monge, D. Romero Morales, J. Wang, Expected future value decomposition based bid price generation for large-scale network revenue management, Transportation Science 47:181-197, 2013. Abstract.
  5. E. Carrizosa, D. Romero Morales, Supervised Classification and Mathematical Optimization, Computers and Operations Research 40:150-165, 2013. Abstract.
  6. E. Carrizosa, B. Martín-Barragán, D. Romero Morales, Detecting relevant variables and interactions in supervised classification, European Journal of Operational Research 213(1):260-269, 2011. Abstract.
  7. E. Carrizosa, B. Martín-Barragán, D. Romero Morales, Binarized support vector machines, INFORMS Journal on Computing 22(1):154-167, 2010. Abstract.
  8. D. Romero Morales, J. Wang, Forecasting cancellation rates for services booking revenue management using data mining, European Journal of Operational Research 202(2):554-562, 2010. Abstract.
  9. D. Romero Morales, D. Vermeulen, Existence of equilibria in a decentralized two-level supply chain, European Journal of Operational Research 197(2):642-658, 2009. Abstract.
  10. E. Carrizosa, B. Martín-Barragán, D. Romero Morales, Multi-group Support Vector Machines with measurement costs: a biobjective approach, Discrete Applied Mathematics 156(6):950-966, 2008. Abstract.
  11. E. Carrizosa, B. Martín-Barragán, F. Plastria, D. Romero Morales, On the selection of the globally optimal prototype subset for Nearest-Neighbor classification, INFORMS Journal on Computing, 19(3):470-479, 2007. Abstract.
  12. R.K. Ahuja, W. Huang, H.E. Romeijn, D. Romero Morales, A heuristic approach to the multi-period single-sourcing problem with production and inventory capacities and perishability constraints, INFORMS Journal on Computing 19:14-26, 2007. Abstract.
  13. R.B. Lok, D. Romero Morales, D. Vermeulen, Note on the applicability of the VCG mechanism to capacitated assignment problems and extensions, Statistica Neerlandica 61(1): 156-171, 2007. Abstract.
  14. E. Carrizosa, D. Romero Morales, A biobjective method for sample allocation in stratified sampling, European Journal of Operational Research 177(2):1074-1089, 2007. Abstract.
  15. A. Alonso-Ayuso, L.F. Escudero, C. Pizarro, H.E. Romeijn, D. Romero Morales, On solving the multi-period single-sourcing problem under uncertainty, Computational Management Science 3(1):29-53, 2006. Abstract.
  16. S. van Hoesel, H.E. Romeijn, D. Romero Morales, A.P.M. Wagelmans, Integrated lot-sizing in serial supply chains with production capacities, Management Science 51(11): 1706-1719, 2005. Abstract.
  17. H.E. Romeijn, D. Romero Morales, Asymptotic analysis of a greedy heuristic for the multi-period single-sourcing problem: the acyclic case, Journal of Heuristics 10: 5-35, 2004. Abstract.
  18. R. Freling, H.E. Romeijn, D. Romero Morales, A.P.M. Wagelmans, A Branch and Price algorithm for the multi-period single-sourcing problem, Operations Research 51(6): 922-939, 2003. Abstract.
  19. H.E. Romeijn, D. Romero Morales, An asymptotically optimal greedy heuristic for the multi-period single-sourcing problem: the cyclic case, Naval Research Logistics, 50(5):412-437, 2003. Abstract.
  20. H.E. Romeijn, D. Romero Morales, Generating experimental data for the Generalized Assignment Problem, Operations Research, 49 (6): 866-878, 2001. Abstract.
  21. E. Carrizosa, E. Conde, A. Castaño, D. Romero Morales, Finding the Principal Points of a Random Variable, RAIRO-Operations Research, 35: 315-328, 2001. Abstract.
  22. H.E. Romeijn, D. Romero Morales, A probabilistic analysis of the multi-period single-sourcing problem, Discrete Applied Mathematics, 112: 301-328, 2001. Abstract.
  23. E. Carrizosa, D. Romero Morales, Combining minsum and minmax. A Goal Programming approach, Operations Research, 49 (1):169-174, 2001. Abstract.
  24. H.E. Romeijn, D. Romero Morales, A class of greedy algorithms for the Generalized Assignment Problem, Discrete Applied Mathematics, 103: 209-235, 2000. Abstract.
  25. E. Carrizosa, D. Romero Morales, Attainment of optimal solution in a semiobnoxious location problem, Studies in Locational Analysis, 12, 41-48, April 1999. Abstract.
  26. E. Carrizosa, E. Conde, D. Romero Morales, Semi-Obnoxious location models: A global optimization approach, European Journal of Operational Research, 102 (2):295-301, 1997. Abstract.

Chapters in books:

  1. D. Romero Morales, H.E. Romeijn, The Generalized Assignment Problem and extensions. Handbook of Combinatorial Optimization, supplement volume B (D.Z. Du and P.M. Pardalos, eds.), Springer, 2005, 259-311.
  2. H.E. Romeijn, D. Romero Morales, A greedy heuristic for a three-level multi-period single-sourcing problem, Quantitative Approaches to Distribution Logistics and Supply Chain Management, Lecture notes in economics and mathematical systems 519 (A. Klose, M.G. Speranza and L.N. van Wassenhove eds.), Springer-Verlag, Berlin, 2002, 191-214. Abstract.
  3. D. Romero Morales, J.A.E.E. van Nunen, H.E. Romeijn, Logistics network design evaluation in a dynamic environment, New trends in distribution logistics, Lecture notes in economics and mathematical systems 480 (M.G. Speranza and P. Stähly eds.), Springer-Verlag, Berlin, 1999, 113-135. Abstract.
  4. D. Romero Morales, E. Carrizosa, E.Conde, Location of a Semiobnoxious Facility. A Biobjective Approach, Advances in multiple objective and goal programming, Lecture notes in economics and mathematical systems 455 (R. Caballero, F. Ruiz, and R.E. Steuer eds.), Springer-Verlag, Berlin, 1997, 338-346. Abstract.

Working papers:

  • L.F. Escudero, J.F. Monge, D. Romero Morales, An SDP approach for multiperiod mixed 0-1 linear programming models with stochastic dominance constraints for risk management. Abstract.
  • D. Li, D. Romero Morales. Polynomial time algorithms for minimax regret robust uncapacitated lot sizing models. Abstract.
  • E. Carrizosa, A. Nogales-Gómez, D. Romero Morales, Strongly Agree or Strongly Disagree?: Rating Features in Support Vector Machines. Abstract.
  • E. Carrizosa, A. Nogales-Gómez, D. Romero Morales, Clustering categories in Support Vector Machines. Abstract.
  • W. van den Heuvel, H.E. Romeijn, D. Romero Morales, Computational complexity of finding Pareto efficient outcomes for bi-objective lot-sizing models. Abstract.

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This page was last updated 11/04/2014 18:26