BARON

BARON is a computational system for solving nonconvex optimization problems to global optimality. Purely continuous, purely integer, and mixed-integer nonlinear problems can be solved with the software. The Branch And Reduce Optimization Navigator derives its name from its combining constraint propagation, interval analysis, and duality in its reduce arsenal with enhanced branch and bound concepts as it winds its way through the hills and valleys of complex optimization problems in search of global solutions


References in zbMATH (referenced in 324 articles , 2 standard articles )

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  1. Füllner, Christian; Kirst, Peter; Stein, Oliver: Convergent upper bounds in global minimization with nonlinear equality constraints (2021)
  2. Liu, Yanchao: A note on solving DiDi’s driver-order matching problem (2021)
  3. Nohra, Carlos J.; Raghunathan, Arvind U.; Sahinidis, Nikolaos: Spectral relaxations and branching strategies for global optimization of mixed-integer quadratic programs (2021)
  4. Reyes, Victor; Araya, Ignacio: \textscAbsTaylor: upper bounding with inner regions in nonlinear continuous global optimization problems (2021)
  5. Sundar, Kaarthik; Nagarajan, Harsha; Linderoth, Jeff; Wang, Site; Bent, Russell: Piecewise polyhedral formulations for a multilinear term (2021)
  6. Zenarosa, Gabriel Lopez; Prokopyev, Oleg A.; Pasiliao, Eduardo L.: On exact solution approaches for bilevel quadratic 0-1 knapsack problem (2021)
  7. Ahmadi, Amir Ali; Hall, Georgina: On the complexity of detecting convexity over a box (2020)
  8. Bienstock, Dan; Escobar, Mauro; Gentile, Claudio; Liberti, Leo: Mathematical programming formulations for the alternating current optimal power flow problem (2020)
  9. Bosch, P.; Contreras, J. P.; Munizaga-Rosas, J.: Feasibility and cost minimisation for a lithium extraction problem (2020)
  10. Cen, Xiaoli; Xia, Yong: Globally maximizing the sum of squares of quadratic forms over the unit sphere (2020)
  11. Christian D. Hubbs, Hector D. Perez, Owais Sarwar, Nikolaos V. Sahinidis, Ignacio E. Grossmann, John M. Wassick: OR-Gym: A Reinforcement Learning Library for Operations Research Problem (2020) arXiv
  12. Coniglio, Stefano; Gatti, Nicola; Marchesi, Alberto: Computing a pessimistic Stackelberg equilibrium with multiple followers: the mixed-pure case (2020)
  13. Dasdemir, Erdi; Köksalan, Murat; Tezcaner Öztürk, Diclehan: A flexible reference point-based multi-objective evolutionary algorithm: an application to the UAV route planning problem (2020)
  14. Del Pia, Alberto; Khajavirad, Aida; Sahinidis, Nikolaos V.: On the impact of running intersection inequalities for globally solving polynomial optimization problems (2020)
  15. Duarte, Belmiro P. M.; Granjo, José F. O.; Wong, Weng Kee: Optimal exact designs of experiments via mixed integer nonlinear programming (2020)
  16. Enayati, Shakiba; Özaltın, Osman Y.: Optimal influenza vaccine distribution with equity (2020)
  17. Fischetti, Matteo; Monaci, Michele: A branch-and-cut algorithm for mixed-integer bilinear programming (2020)
  18. Ghadimi, Foad; Aouam, Tarik; Vanhoucke, Mario: Optimizing production capacity and safety stocks in general acyclic supply chains (2020)
  19. Gleixner, Ambros; Maher, Stephen J.; Müller, Benjamin; Pedroso, João Pedro: Price-and-verify: a new algorithm for recursive circle packing using Dantzig-Wolfe decomposition (2020)
  20. Goos, P.; Syafitri, U.; Sartono, B.; Vazquez, A. R.: A nonlinear multidimensional knapsack problem in the optimal design of mixture experiments (2020)

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Further publications can be found at: http://scholar.google.gr/citations?hl=en&user=PTXe50QAAAAJ