LGO

LGO - abbreviated from the name Lipschitz Global Optimizer - assists in the formulation and solution of the broad class of Global Optimization problems.  LGO was developed by J. Pintér of Pintér Consulting Services, Inc. and Dalhousie University.  LGO integrates a suite of global and local scope solvers.  These include (a) global adaptive partition and search (branch-and-bound); (b) adaptive global random search; (c) local (convex) unconstrained optimization; and (d) local (convex) constrained optimization.  LGO can solve LP, NLP, DNLP, RMINLP, and RMIP model types.  The LGO manual is on LGO.pdf.  More on LGO can be accessed through http://myweb.dal.ca/jdpinter/.

An in core link exists and has the solver name LGOD