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Some modifications are suggested to the controlled random search algorithm for global optimization. Numerical experiments indicate that the resulting algorithms are considerably better than the originals and offer a reasonable alternative to many currently available stochastic algorithms, especially for problems requiring ‘direct search’ type methods.
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