J4 ›› 2009, Vol. 47 ›› Issue (4): 752-758.

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A Multiobjective Incremental Heuristic Search Algorithm

WEI Wei1,2, OUYANG Dantong1,2, LV Shuai1,2, YIN Minghao3   

  1. 1. College of Computer Science and Technology, Jilin University, Changchun 130012, China|2. Key Laboratory ofSymbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China;3. School of Computer Science, Northeast Normal University, Changchun 130024, China
  • Received:2008-11-13 Online:2009-07-26 Published:2009-08-24
  • Contact: OUYANG Dantong E-mail:ouyang@jlu.edu.cn

Abstract:

A multiobjective incremental heuristic search algorithm which combines heuristic search with incremental search is put forward. When the state space of the multiobjective problem changes, the algorithm will not resolve the new problem from scratch, but reuse the parts of the information of the previous search to find the set of optimal solutions of the new problem and thus
 the efficiency of resolution is improved. The experiment results of the Gridworld benchmark problem show that the algorithm can solve a series of similar multiobjective problems very efficiently when the state space changes continuously.

Key words: heuristic search, incremental search, multiobjective problems, set of optimal solutions

CLC Number: 

  • TP18