On-line parallel heuristics, processor scheduling and robot searching under the competitive framework

  • Authors:
  • Alejandro López-Ortiz;Sven Schuierer

  • Affiliations:
  • Department of Computer Science, University of Waterloo, Waterloo, Ont., Canada N2L 3G1;Institut für Informatik, Am Flughafen 17, Geb. 051, D-79110, Freiburg, Germany

  • Venue:
  • Theoretical Computer Science
  • Year:
  • 2004

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Abstract

In this paper we investigate parallel searches on m concurrent rays for a point target t located at some unknown distance along one of the rays. A group of p agents or robots moving at unit speed searches for t. The search succeeds when an agent reaches the point t. Given a strategy S the competitive ratio is the ratio of the time needed by the agents to find t using S and the time needed if the location of t had been known in advance. We provide a strategy with competitive ratio of 1 + 2(m/p - 1)(m/(m - p))m/p and prove that this is optimal. This problem has applications in multiple heuristic searches in AI as well as robot motion planning. The case p = 1 is known in the literature as the cow path problem.