A Python/C library for bound-constrained global optimization with continuous GRASP
Ricardo M.A. Silva(ricardo.mabreugmail.com)
Abstract: 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.
Keywords: GRASP, continuous GRASP, Global optimization, multimodal func- tions, continuous optimization, heuristic, stochastic algorithm, stochastic local search, nonlinear programming.
Category 1: Global Optimization
Category 2: Global Optimization (Stochastic Approaches )
Category 3: Optimization Software and Modeling Systems
Citation: AT&T Labs Research Technical Report, Florham Park, NJ 07932, July 2011.
Entry Submitted: 08/08/2011
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