Genetic algorithm for double digest problem

  • Authors:
  • S. Sur-Kolay;S. Banerjee;S. Mukhopadhyaya;C. A. Murthy

  • Affiliations:
  • Indian Statistical Institute, Kolkata, India;Honeywell Technology Solutions Lab Pvt. Ltd., Bangalore, India;Indian Statistical Institute, Kolkata, India;Indian Statistical Institute, Kolkata, India

  • Venue:
  • PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
  • Year:
  • 2005

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Abstract

The strongly NP-complete Double Digest Problem (DDP) for physical mapping of DNA, is now used for efficient genotyping. An instance of DDP has multiple distinct solutions. Existing methods produce a single solution, and are slow for large instances. We employ a type of equivalence among the distinct solutions to obtain almost all of them. Our method comprises of first finding a solution from each equivalence class by an elitist genetic algorithm, and then generating entire classes. Notable efficiency was achieved due to significant reduction in search space.