Abstract
The paper reconsiders the importance of monotonicity and consistency properties on the efficiency of multiobjective A* search. Previous works on the MOA* algorithm (Multi-objective A*) concluded that the importance of the monotone property of heuristics was not as important as in A*. The recent development of an alternative algorithm (NAMOA*), gives a chance to review these results. The paper presents a formal analysis on the comparison of heuristics in NAMOA* and concludes that the properties of consistency and monotonicity are of fundamental importance in search efficiency.
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© 2006 Springer-Verlag Berlin Heidelberg
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Mandow, L., de la Cruz, J.L.P. (2006). Comparison of Heuristics in Multiobjective A* Search. In: Marín, R., Onaindía, E., Bugarín, A., Santos, J. (eds) Current Topics in Artificial Intelligence. CAEPIA 2005. Lecture Notes in Computer Science(), vol 4177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881216_20
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DOI: https://doi.org/10.1007/11881216_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45914-9
Online ISBN: 978-3-540-45915-6
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