Efficient solutions to a class of generalized time-dependent combinatorial optimization problems

  • Authors:
  • Todd W. Kolb;Lixin Tao;Michael W. Tao

  • Affiliations:
  • School of Computer Science and Information Systems, Pace University, White Plains, NY;School of Computer Science and Information Systems, Pace University, White Plains, NY;Thomas Jefferson High School for Science and Technology, Braddock Road, Alexandria, VA

  • Venue:
  • MATH'05 Proceedings of the 7th WSEAS International Conference on Applied Mathematics
  • Year:
  • 2005

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Abstract

A class of generalized intractable time-dependent problems is identified and abstracted into a mathematical model. Simulated annealing is adopted as the base of the solution strategy. Comprehensive experiments are conducted to study the sensitivity of the algorithm to the values of its multiple parameters. Extensive performance evaluation shows that the proposed algorithm significantly outperforms the best published alternative algorithms for the same problem class.