Anytime Pack Heuristic Search

  • Satya Gautam Vadlamudi
  • Sandip Aine
  • Partha Pratim Chakrabarti
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8251)

Abstract

Heuristic search is a fundamental problem solving technique in artificial intelligence. In this paper, we propose an anytime heuristic search algorithm called Anytime Pack Search (APS) which helps in solving hard combinatorial search problems efficiently. It expands nodes of a search graph in a localized best-first manner so as to converge towards good quality solutions at regular intervals. APS is complete on bounded graphs and guarantees termination with an optimal solution. Experimental results on the sliding-tile puzzle problem, the traveling salesman problem, and the single-machine scheduling problem show that APS significantly outperforms some of the state-of-the-art anytime algorithms.

Keywords

problem solving heuristic search anytime algorithms 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Satya Gautam Vadlamudi
    • 1
  • Sandip Aine
    • 2
  • Partha Pratim Chakrabarti
    • 1
  1. 1.Indian Institute of Technology KharagpurKharagpurIndia
  2. 2.Indraprastha Institute of Information TechnologyNew DelhiIndia

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