Martina Gorges-Schleuter

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| This paper describes a spatially structured evolutionary algorithm being applied to the symmetric and asymmetric traveling salesman problem (TSP). This approach shows that a genetic algorithm with high degree of isolation-by-distance in combination with a simple repairing mechanism is able to nd high quality solutions for the TSP. The evolutionary part of(More)
Genetic algorithms imitate the collective learning paradigm found in living nature. They derive their power largely from their implicit parallelism gained by processing a population of points in the search space simultaneously. In this paper, we describe an extension of genetic algorithms making them also explicitly parallel. The advantages of the(More)