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String Selection Problems

  • Elisa Pappalardo
  • Panos M. Pardalos
  • Giovanni Stracquadanio
Chapter
Part of the SpringerBriefs in Optimization book series (BRIEFSOPTI)

Abstract

The increasing amount of genomic data and the ability to synthesize artificial DNA constructs poses a series of challenging problems involving the identification and design of sequences with specific properties. We address the identification of such sequences; many of these problems present challenges both at biological and computational level. In this chapter, we introduce the main string selection problems and the theoretical and experimental results for the most important instances.

Keywords

Local Search Memetic Algorithm Greedy Randomized Adaptive Search Procedure Input String Alphabet Size 
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

© Elisa Pappalardo, Panos M. Pardalos, Giovanni Stracquadanio 2013

Authors and Affiliations

  • Elisa Pappalardo
    • 1
  • Panos M. Pardalos
    • 2
    • 3
  • Giovanni Stracquadanio
    • 1
  1. 1.Department of Biomedical EngineeringJohns Hopkins UniversityBaltimoreUSA
  2. 2.Center for Applied Optimization Department of Industrial and Systems EngineeringUniversity of FloridaGainesvilleUSA
  3. 3.Laboratory of Algorithms and Technologies for Networks Analysis (LATNA) Higher School of EconomicsNational Research UniversityMoscowRussia

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