Data correcting: a methodology for obtaining near-optimal solutions
Abstract
In this paper we concern ourselves with the problem of finding near optimal solutions to function that are not amenable to solution by analytic means. This means that given a function and a parameter ? away from the optimal value of the function. We show how this technique can be applied to combinational experience with this algorithm on benchmark asymmetric traveling salesperson problems.
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