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OL
2007

Global optimization by continuous grasp

13 years 10 months ago
Global optimization by continuous grasp
We introduce a novel global optimization method called Continuous GRASP (C-GRASP) which extends Feo and Resende’s greedy randomized adaptive search procedure (GRASP) from the domain of discrete optimization to that of continuous global optimization. This stochastic local search method is simple to implement, is widely applicable, and does not make use of derivative information, thus making it a well-suited approach for solving global optimization problems. We illustrate the effectiveness of the procedure on a set of standard test problems as well as two hard global optimization problems.
Michael J. Hirsch, Cláudio Nogueira de Mene
Added 27 Dec 2010
Updated 27 Dec 2010
Type Journal
Year 2007
Where OL
Authors Michael J. Hirsch, Cláudio Nogueira de Meneses, Panos M. Pardalos, Mauricio G. C. Resende
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