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 269 articles , 2 standard articles )

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  1. Ahmadi, Amir Ali; Majumdar, Anirudha: DSOS and SDSOS optimization: more tractable alternatives to sum of squares and semidefinite optimization (2019)
  2. Bei, Xiaoqiang; Zhu, Xiaoyan; Coit, David W.: A risk-averse stochastic program for integrated system design and preventive maintenance planning (2019)
  3. Cicek, Cihan Tugrul; Gultekin, Hakan; Tavli, Bulent: The location-allocation problem of drone base stations (2019)
  4. Elloumi, Sourour; Lambert, Amélie: Global solution of non-convex quadratically constrained quadratic programs (2019)
  5. Kallrath, Josef; Frey, Markus M.: Packing circles into perimeter-minimizing convex hulls (2019)
  6. Liu, Jianfeng; Ploskas, Nikolaos; Sahinidis, Nikolaos V.: Tuning BARON using derivative-free optimization algorithms (2019)
  7. Wang, Tong; Lima, Ricardo M.; Giraldi, Loïc; Knio, Omar M.: Trajectory planning for autonomous underwater vehicles in the presence of obstacles and a nonlinear flow field using mixed integer nonlinear programming (2019)
  8. Berthold, Timo: A computational study of primal heuristics inside an MI(NL)P solver (2018)
  9. Ciripoi, Daniel; Löhne, Andreas; Weißing, Benjamin: A vector linear programming approach for certain global optimization problems (2018)
  10. Del Pia, Alberto; Khajavirad, Aida: On decomposability of multilinear sets (2018)
  11. Duarte, Belmiro P. M.; Sagnol, Guillaume; Wong, Weng Kee: An algorithm based on semidefinite programming for finding minimax optimal designs (2018)
  12. Gergel, Victor; Barkalov, Konstantin; Sysoyev, Alexander: Globalizer: a novel supercomputer software system for solving time-consuming global optimization problems (2018)
  13. Grimstad, Bjarne: A MIQCP formulation for B-spline constraints (2018)
  14. Hartillo, M. I.; Jiménez-Cobano, J. M.; Ucha, J. M.: Finding multiple solutions in nonlinear integer programming with algebraic test-sets (2018)
  15. Keyanpour, Mohammad; Osmanpour, Naser: On solving quadratically constrained quadratic programming problem with one non-convex constraint (2018)
  16. Khajavirad, Aida; Sahinidis, Nikolaos V.: A hybrid LP/NLP paradigm for global optimization relaxations (2018)
  17. Kılınç, Mustafa R.; Sahinidis, Nikolaos V.: Exploiting integrality in the global optimization of mixed-integer nonlinear programming problems with BARON (2018)
  18. Kronqvist, Jan; Lundell, Andreas; Westerlund, Tapio: Reformulations for utilizing separability when solving convex MINLP problems (2018)
  19. Lim, Cong Han; Linderoth, Jeff; Luedtke, James: Valid inequalities for separable concave constraints with indicator variables (2018)
  20. Montanher, Tiago; Neumaier, Arnold; Domes, Ferenc: A computational study of global optimization solvers on two trust region subproblems (2018)

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