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Title: A critical view of the evolutionary design of self-assembling systems
Author(s): Krasnogor, Natalio
Terrazas, Graciela
Pelta, David A
Ochoa, Gabriela
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Editor(s): Talbi, E-G
Liardet, P
Collet, P
Lutton, E
Schoenauer, M
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.;
Issue Date: 2006
Date Deposited: 20-Feb-2013
Series/Report no.: Lecture Notes in Computer Science, 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.
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
DOI Link: 10.1007/11740698_16
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