HOPSPACK

Hybrid Optimization Parallel Search PACKage. HOPSPACK solves derivative-free optimization problems in a C++ software framework. The framework enables parallel operation using MPI (for distributed machine architectures) and multithreading (for single machines with multiple processors or cores). Optimization problems can be very general: functions can be noisy, nonsmooth and nonconvex, linear and nonlinear constraints are supported, and variables may be continuous or integer-valued. HOPSPACK is released with two user communities in mind: those who need an optimization problem solved, and those who wish to experiment with writing their own derivative-free solvers.


References in zbMATH (referenced in 11 articles )

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  1. Sauk, Benjamin; Ploskas, Nikolaos; Sahinidis, Nikolaos: GPU parameter tuning for tall and skinny dense linear least squares problems (2020)
  2. Larson, Jeffrey; Menickelly, Matt; Wild, Stefan M.: Derivative-free optimization methods (2019)
  3. Larson, Jeffrey; Wild, Stefan M.: Asynchronously parallel optimization solver for finding multiple minima (2018)
  4. Rahmanpour, Fardin; Hosseini, Mohammad Mehdi; Maalek Ghaini, Farid Mohammad: Penalty-free method for nonsmooth constrained optimization via radial basis functions (2017)
  5. Audet, Charles; Le Digabel, Sébastien; Peyrega, Mathilde: Linear equalities in blackbox optimization (2015)
  6. Mondal, Sukanto; Lucet, Yves; Hare, Warren: Optimizing horizontal alignment of roads in a specified corridor (2015)
  7. Hingerl, Ferdinand F.; Kosakowski, Georg; Wagner, Thomas; Kulik, Dmitrii A.; Driesner, Thomas: GEMSFIT: a generic fitting tool for geochemical activity models (2014)
  8. Martínez, J. M.; Sobral, F. N. C.: Constrained derivative-free optimization on thin domains (2013)
  9. Rios, Luis Miguel; Sahinidis, Nikolaos V.: Derivative-free optimization: a review of algorithms and comparison of software implementations (2013)
  10. Reif, Matthias; Shafait, Faisal; Dengel, Andreas: Meta-learning for evolutionary parameter optimization of classifiers (2012) ioport
  11. Rocklin, Matthew; Pinar, Ali: Computing an aggregate edge-weight function for clustering graphs with multiple edge types (2010)