Comparison of Heuristics in Multiobjective A* Search
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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.
[1] Chelsea C. White,et al. Multiobjective A* , 1991, JACM.
[2] Nils J. Nilsson,et al. A Formal Basis for the Heuristic Determination of Minimum Cost Paths , 1968, IEEE Trans. Syst. Sci. Cybern..
[3] Lawrence Mandow,et al. Multicriteria heuristic search , 2003, Eur. J. Oper. Res..
[4] Rina Dechter,et al. Generalized best-first search strategies and the optimality of A* , 1985, JACM.
[5] Lawrence Mandow,et al. A New Approach to Multiobjective A* Search , 2005, IJCAI.