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cGOP - A Package for Global Optimization

cGOP is a package for rigorously solving nonconvex optimization problems
to global optimality. The package implements the GOP algorithm
using a set of C subroutines to solve these problems using decomposition and
branch-and-bound techniques. It also incorporates several improvements made
to the original GOP algorithm to reduce the computational complexity, as well
as new formulations that permit implicit solutions of some of the subproblems
encountered during the algorithmic steps.The algorithms use local optimization solvers (currently MINOS and CPLEX)
to solve linear, mixed-integer linear and convex subproblems. Currently, the
package can be used to solve problems with linear constraints. The
original algorithm and its derivatives can be accessed by calls to high-level
subroutines as well as through a standalone mode for quadratic problems.
Furthermore, it can also be accessed using a high-level interface that
permits easy description of the problems.

cGOP is designed as a library of subroutines that can be called from any
high level programming language. It has been written in portable ANSI C,
and is currently available for the HP 9000, IBM RS6000, SUN4 and Silicon
Graphics architectures. There are no restrictions on the sizes of
problems that can be solved; the algorithms are only limited by the available
memory and CPU resources on the machine on which the software is run.

Download Files (local site)CASL's Computational Tools Page

### Problem Links

This page last modified on 2008-07-10
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