An optimisation model for airlift load planning: GALAHAD and the quest for the 'holy grail'

  • Authors:
  • Bohdan L. Kaluzny;R. H. A. David Shaw;Ahmed Ghanmi;Beomjoon Kim

  • Affiliations:
  • Canadian Department of National Defence, Ottawa, Ontario;Canadian Department of National Defence, Ottawa, Ontario;Canadian Department of National Defence, Ottawa, Ontario;Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, Ontario, Canada

  • Venue:
  • CISDA'09 Proceedings of the Second IEEE international conference on Computational intelligence for security and defense applications
  • Year:
  • 2009

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Abstract

This paper presents an aircraft load allocation optimisation model, which uses a hybrid of simulated annealing and genetic algorithm methods to solve a multi-objective optimisation problem associated with allocating a set of cargo items across a heterogeneous fleet of available airlift assets. It represents candidate solutions using macrochromosomes comprised of an ordered list of available transport assets followed by an ordered list of cargo items. A bin packing heuristic is used to map each individual to a point in asset-utilization space where a novel convex hull based fitness function is used to evaluate the relative quality of each individual and drive an elitist application of genetic operators on the population--including a novel extinction operation that infrequently culls solutions comprising of aircraft chalks that cannot be load balanced. Proof of concept computational results are presented.