A Python/C library for bound-constrained global optimization with continuous GRASP

  • Michael J. Hirsch
  • Panos M. Pardalos
  • Mauricio G.C. Resende
  • Ricardo M.A. Silva
    • Categories Global Optimization, Optimization Software and Modeling Systems, Stochastic Approaches Tags , , , , , , , , Short URL: https://optimization-online.org/?p=11675

    This paper describes libcgrpp, a GNU-style dynamic shared Python/C library of the continuous greedy randomized adaptive search procedure (C-GRASP) for bound constrained global optimization. C-GRASP is an extension of the GRASP metaheuristic (Feo and Resende, 1989). After a brief introduction to C-GRASP, we show how to download, install, configure, and use the library through an illustrative example.

    Citation

    AT&T Labs Research Technical Report, Florham Park, NJ 07932, July 2011.

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