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Rapid Close-to-Optimum Optimization by Genetic Algorithms

Hackl, R. ; Morgenstern, Ingo



Abstract

In this article we consider the optimization of np-complete problems with a genetic algorithm. For "real word" problems we regard it to be sufficient to get close to the optimal solution without any guarantee of ever hitting it. Our algorithm was tested on two problem classes: the traveling salesman problem and the product ordering problem; the first is a standard problem, the latter a problem we ...

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