A Critical View of the Evolutionary Design of Self-assembling Systems

  • Natalio Krasnogor
  • Graciela Terrazas
  • David A. Pelta
  • Gabriela Ochoa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3871)

Abstract

The automated design of systems which self-assemble is a fundamental cornerstone of nanotechnology. In this paper we review some work in which we have applied Evolutionary Algorithms (EAs) for the automated design of systems self-assembly. We will focus in three important minimalist self-assembly problems and we discuss the difficulties encountered while applying EAs to these test cases. We also suggest some promising lines of work that could possibly help overcome current limitations in the evolutionary design of self-assembling systems.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Natalio Krasnogor
    • 1
  • Graciela Terrazas
    • 1
  • David A. Pelta
    • 2
  • Gabriela Ochoa
    • 3
  1. 1.Automated Scheduling, Optimisation and Planning Research Group, School of Computer Science and Information TechnologyUniversity of NottinghamUK
  2. 2.Departamento de Ciencias de la Computacion, ETSI InformaticaUniversidad de GranadaSpain
  3. 3.Departamento de Ciencias de la ComputacionUniversidad Simon BolivarVenezuela

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