A generic library of problem solving methods for scheduling applications

  • Authors:
  • Dnyanesh Rajpathak;Enrico Motta;Zdenek Zdrahal;Rajkumar Roy

  • Affiliations:
  • The Open University, Milton Keynes, United Kingdom;The Open University, Milton Keynes, United Kingdom;The Open University, Milton Keynes, United Kingdom;Cranfield University, Cranfield, Bedford, United Kingdom

  • Venue:
  • Proceedings of the 2nd international conference on Knowledge capture
  • Year:
  • 2003

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Abstract

In this paper we describe a generic library of problem-solving methods (PSMs) for scheduling applications. Although, some attempts have been made in the past at developing libraries of scheduling methods, these only provide limited coverage: in some cases they are specific to a particular scheduling domain; in other cases they simply implement a particular scheduling technique; in other cases they fail to provide the required degree of depth and precision. Our library is based on a structured approach, whereby we first develop a scheduling task ontology, and then construct a task-specific but domain independent model of scheduling problem-solving, which generalises from specific approaches to scheduling problem-solving. Different PSMs are then constructed uniformly by specialising the generic model of scheduling problem-solving. Our library has been evaluated on a number of real-life and benchmark applications to demonstrate its generic and comprehensive nature.