An approach to continuous optimization by the Intelligent Water Drops algorithm
نویسنده
چکیده
In this paper, the Intelligent Water Drops (IWD) algorithm is augmented with a mutation-based local search to find the optimal values of numerical functions. The proposed algorithm called the IWD-CO (IWD for continuous optimization) is tested with six different benchmark functions. The experimental results are satisfactory, which encourage further researches in this regard. © 2011 Published by Elsevier Ltd.
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