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An optimization algorithm is presented which effectively combines the desirable characteristics of both gradient descent and evolutionary computation into a single robust algorithm. The method uses a population-based gradient approximation which allows it to recognize surface behavior on both large and small scales. By adjusting the population radius between iterations, the algorithm is able to escape...