IBM® ILOG® CPLEX® offers C, C++, Java, .NET, and Python libraries that solve linear programming (LP) and related problems. Specifically, it solves linearly or quadratically constrained optimization problems where the objective to be optimized can be expressed as a linear function or a convex quadratic function. The variables in the model may be declared as continuous or further constrained to take only integer values.

References in zbMATH (referenced in 2766 articles , 1 standard article )

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  1. Alkhaleel, Basem A.; Liao, Haitao; Sullivan, Kelly M.: Risk and resilience-based optimal post-disruption restoration for critical infrastructures under uncertainty (2022)
  2. Andrés-Thió, Nicolau; Brazil, Marcus; Ras, Charl; Thomas, Doreen; Volz, Marcus: An exact algorithm for constructing minimum Euclidean skeletons of polygons (2022)
  3. Azizi, Nader; Salhi, Said: Reliable hub-and-spoke systems with multiple capacity levels and flow dependent discount factor (2022)
  4. Beasley, J. E.: A discrete optimisation approach for target path planning whilst evading sensors (2022)
  5. Ben Amor, Nahla; Fargier, Hélène; Sabbadin, Régis; Trabelsi, Meriem: Solving possibilistic games with incomplete information (2022)
  6. Bentobache, Mohand; Telli, Mohamed; Mokhtari, Abdelkader: New LP-based local and global algorithms for continuous and mixed-integer nonconvex quadratic programming (2022)
  7. Berger, Mathias; Radu, David; Dubois, Antoine; Pandžić, Hrvoje; Dvorkin, Yury; Louveaux, Quentin; Ernst, Damien: Siting renewable power generation assets with combinatorial optimisation (2022)
  8. Blekherman, Grigoriy; Dey, Santanu S.; Shu, Kevin; Sun, Shengding: Hyperbolic relaxation of (k)-locally positive semidefinite matrices (2022)
  9. Bruglieri, Maurizio; Cordone, Roberto; Liberti, Leo: Maximum feasible subsystems of distance geometry constraints (2022)
  10. Bushaj, Sabah; Büyüktahtakın, İ. Esra; Haight, Robert G.: Risk-averse multi-stage stochastic optimization for surveillance and operations planning of a forest insect infestation (2022)
  11. Carvalho, Desiree M.; Nascimento, Mariá C. V.: Hybrid matheuristics to solve the integrated lot sizing and scheduling problem on parallel machines with sequence-dependent and non-triangular setup (2022)
  12. Ceselli, Alberto; Létocart, Lucas; Traversi, Emiliano: Dantzig-Wolfe reformulations for binary quadratic problems (2022)
  13. De Rosa, Antonio; Khajavirad, Aida: The ratio-cut polytope and K-means clustering (2022)
  14. Dias, Fernando H. C.; Hijazi, Hassan; Rey, David: Disjunctive linear separation conditions and mixed-integer formulations for aircraft conflict resolution (2022)
  15. Drezner, Zvi; Kalczynski, Pawel; Misevičius, Alfonsas; Palubeckis, Gintaras: Finding optimal solutions to several gray pattern instances (2022)
  16. Edis, Emrah B.; Sancar Edis, Rahime; Ilgin, Mehmet Ali: Mixed integer programming approaches to partial disassembly line balancing and sequencing problem (2022)
  17. Fakhry, Ramy; Hassini, Elkafi; Ezzeldin, Mohamed; El-Dakhakhni, Wael: Tri-level mixed-binary linear programming: solution approaches and application in defending critical infrastructure (2022)
  18. García-Marco, Ignacio; Knauer, Kolja: On sensitivity in bipartite Cayley graphs (2022)
  19. Kalczynski, Pawel; Drezner, Zvi: Extremely non-convex optimization problems: the case of the multiple obnoxious facilities location (2022)
  20. Karakostas, Panagiotis; Sifaleras, Angelo; Georgiadis, Michael C.: Variable neighborhood search-based solution methods for the pollution location-inventory-routing problem (2022)

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