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An Adaptive Framework for Solving Multiple Hard Problems Under Time Constraints

  • Sandip Aine
  • Rajeev Kumar
  • P. P. Chakrabarti
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3801)

Abstract

We address the problem of building an integrated meta-level framework for time deliberation and parameter control for a system solving a set of hard problems. The trade-off is between the solution qualities achieved for individual problems and the global outcome under the given time-quality constraints. Each problem is modeled as an anytime optimization algorithm whose quality-time performance varies with different control parameter settings. We use the proposed meta-level strategy for generating a deliberation schedule and adaptive cooling mechanism for anytime simulated annealing (ASA) solving hard task sets. Results on task sets comprising of the traveling salesman problem (TSP) instances demonstrate the efficacy of the proposed control strategies.

Keywords

Travel Salesman Problem Travel Salesman Problem Time Allocation Preemptive Schedule Adaptive Framework 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Sandip Aine
    • 1
  • Rajeev Kumar
    • 1
  • P. P. Chakrabarti
    • 1
  1. 1.Department of Computer Science and EngineeringIndian Institute of Technology KharagpurKharagpurIndia

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