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We evaluate dynasearch by making use of it to the problem of scheduling jobs on a single machine to reduce the overall weighted tardiness of the jobs. Computational results also show that an iterated dynasearch algorithm in which descents are performed a few random strikes away from previous local minima is superior to other known local search procedures for the entire weighted tardiness scheduling downside. Furthermore, this superiority is much better for starting solutions close to previous native minima. One of the most convenient methods is to send a delicious thank-you through an area caterer. These adva
