XPRESS

FICO Xpress is the premier mathematical modeling and optimization software suite in the world, with the best tools available to aid the development and deployment of optimization applications that solve real-world challenges. FICO Xpress helps organizations solve bigger problems, design applications faster and make even better decisions in virtually any business scenario. Xpress Optimization Suite includes two types of tools: model building and development tools, and solver engines.


References in zbMATH (referenced in 167 articles )

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  1. Helm, Werner E.; Justkowiak, Jan-Erik: Extension of Mittelmann’s benchmarks: comparing the solvers of SAS and Gurobi (2018)
  2. Balasubramaniam, Chitra; Butenko, Sergiy: On robust clusters of minimum cardinality in networks (2017)
  3. Harbering, Jonas: Delay resistant line planning with a view towards passenger transfers (2017)
  4. Lima, Ricardo M.; Grossmann, Ignacio E.: On the solution of nonconvex cardinality Boolean quadratic programming problems: a computational study (2017)
  5. Pelegrín, Mercedes; Pelegrín, Blas: Nash equilibria in location games on a network (2017)
  6. Toscano, Alyne; Rangel, Socorro; Yanasse, Horacio Hideki: A heuristic approach to minimize the number of saw cycles in small-scale furniture factories (2017)
  7. Toth, Csaba D. (ed.); Goodman, Jacob E. (ed.); O’Rourke, Joseph (ed.): Handbook of discrete and computational geometry (2017)
  8. Veremyev, Alexander; Prokopyev, Oleg A.; Pasiliao, Eduardo L.: Finding groups with maximum betweenness centrality (2017)
  9. Belotti, Pietro; Bonami, Pierre; Fischetti, Matteo; Lodi, Andrea; Monaci, Michele; Nogales-Gómez, Amaya; Salvagnin, Domenico: On handling indicator constraints in mixed integer programming (2016)
  10. Berthold, Timo; Farmer, James; Heinz, Stefan; Perregaard, Michael: Parallelization of the FICO Xpress-Optimizer (2016)
  11. Borndörfer, Ralf; Schenker, Sebastian; Skutella, Martin; Strunk, Timo: PolySCIP (2016)
  12. Buchheim, Christoph; De Santis, Marianna; Lucidi, Stefano; Rinaldi, Francesco; Trieu, Long: A feasible active set method with reoptimization for convex quadratic mixed-integer programming (2016)
  13. Cire, Andre A.; Hooker, John N.; Yunes, Tallys: Modeling with metaconstraints and semantic typing of variables (2016)
  14. Fischetti, Matteo; Lodi, Andrea; Monaci, Michele; Salvagnin, Domenico; Tramontani, Andrea: Improving branch-and-cut performance by random sampling (2016)
  15. Friberg, Henrik A.: CBLIB 2014: a benchmark library for conic mixed-integer and continuous optimization (2016)
  16. Greuel, Gert-Martin (ed.); Koch, Thorsten (ed.); Paule, Peter (ed.); Sommese, Andrew (ed.): Mathematical software -- ICMS 2016. 5th international conference, Berlin, Germany, July 11--14, 2016. Proceedings (2016)
  17. Horváth, Markó; Kis, Tamás: Solving resource constrained shortest path problems with LP-based methods (2016)
  18. Jakob Witzig, Timo Berthold, Stefan Heinz: Experiments with Conflict Analysis in Mixed Integer Programming (2016) arXiv
  19. Kumbartzky, Nadine; Werners, Brigitte: Optimising energy procurement for small and medium-sized enterprises (2016)
  20. Pelegrín, Blas; Fernández, Pascual; García Pérez, María Dolores: Profit maximization and reduction of the cannibalization effect in chain expansion (2016)

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