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Arguments for ACO’s Success

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Genetic and Evolutionary Computation – GECCO 2004 (GECCO 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3102))

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Abstract

Very little theory is available to explain the reasons underlying ACO’s success. A population–based ACO (P-ACO) variant is used to explain the reasons of elitist ACO’s success in the TSP, given a globally convex structure of the solution space.

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References

  1. Boese, K.D.: Cost Versus Distance in the Traveling Salesman Problem. Technical Report 950018, University of California, Computer Science Department (1995)

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  2. Guntsch, M., Middendorf, M.: Applying Population Based ACO to Dynamic Optimization Problems. In: Dorigo, M., Di Caro, G.A., Sampels, M. (eds.) Ant Algorithms 2002. LNCS, vol. 2463, pp. 111–122. Springer, Heidelberg (2002)

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© 2004 Springer-Verlag Berlin Heidelberg

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Gómez, O., Barán, B. (2004). Arguments for ACO’s Success. In: Deb, K. (eds) Genetic and Evolutionary Computation – GECCO 2004. GECCO 2004. Lecture Notes in Computer Science, vol 3102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24854-5_26

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  • DOI: https://doi.org/10.1007/978-3-540-24854-5_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22344-3

  • Online ISBN: 978-3-540-24854-5

  • eBook Packages: Springer Book Archive

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