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Book Chapter

A critical view of the evolutionary design of self-assembling systems

Details

Citation

Krasnogor N, Terrazas G, Pelta DA & Ochoa G (2006) A critical view of the evolutionary design of self-assembling systems. In: Talbi E, Liardet P, Collet P, Lutton E & Schoenauer M (eds.) Artificial Evolution: 7th International Conference, Evolution Artificielle, EA 2005, Revised Selected Papers. Lecture Notes in Computer Science, 3871. Berlin Heidelberg: Springer, pp. 179-188. http://www.springer.com/computer/theoretical+computer+science/book/978-3-540-33589-4; https://doi.org/10.1007/11740698_16

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.

StatusPublished
Title of seriesLecture Notes in Computer Science
Number in series3871
Publication date31/12/2006
URL
PublisherSpringer
Publisher URL
Place of publicationBerlin Heidelberg
ISSN of series0302-9743
ISBN978-3-540-33589-4

People (1)

Professor Gabriela Ochoa

Professor Gabriela Ochoa

Professor, Computing Science