Global optimization by continuous grasp
نویسندگان
چکیده
We introduce a novel global optimizationmethod calledContinuous 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.
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عنوان ژورنال:
- Optimization Letters
دوره 1 شماره
صفحات -
تاریخ انتشار 2007