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Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 455))

Abstract

The A* algorithm belongs to the class of best first graph-search algorithms and is frequently used to find minimum-cost paths. Recently, A* has been generalised to solve multiple-objective search problems, returning the set of non-dominated solution paths. This paper presents METAL-A*, an admissible heuristic search algorithm for search problems with lexicographic goals that returns the set of non-dominated paths that best achieves a set of lexicographic goals.

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References

  1. Mandow, L. Búsqueda Heuristica con Satisfacción de Metas. Tech. Rep. Dpto. Lenguajes y Ciencias Computación. University of Malaga, 1997.

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  2. Navinchandra, D. Exploration and Innovation in Design: Towards a computational model. Springer-Verlag, New York, 1991.

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  3. Pearl, J. Heuristics. Addison-Wesley, Reading, Mass. 1984.

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  4. Stewart, B. and White, C.C. Multiobjective A*, Journal of the ACM, Vol 38, No 4, October 1991, pp 775–814.

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© 1997 Springer-Verlag Berlin Heidelberg

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Mandow, L., Milián, E. (1997). Goal Programming and Heuristic Search. In: Caballero, R., Ruiz, F., Steuer, R. (eds) Advances in Multiple Objective and Goal Programming. Lecture Notes in Economics and Mathematical Systems, vol 455. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46854-4_5

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  • DOI: https://doi.org/10.1007/978-3-642-46854-4_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63599-4

  • Online ISBN: 978-3-642-46854-4

  • eBook Packages: Springer Book Archive

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