Journal
BIOSYSTEMS
Volume 101, Issue 3, Pages 167-176Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.biosystems.2010.06.005
Keywords
Indirect encoding; Artificial development; Evolutionary computation; Tensegrity; Form-finding
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Contributions from the emerging fields of molecular genetics and evo-devo (evolutionary developmental biology) are greatly benefiting the field of evolutionary computation, initiating a promise of renewal in the traditional methodology. While direct encoding has constituted a dominant paradigm, indirect ways to encode the solutions have been reported, yet little attention has been paid to the benefits of the proposed methods to real problems. In this work, we study the biological properties that emerge by means of using indirect encodings in the context of form-finding problems. A novel indirect encoding model for artificial development has been defined and applied to an engineering structural-design problem, specifically to the discovery of tensegrity structures. This model has been compared with a direct encoding scheme. While the direct encoding performs similarly well to the proposed method, indirect-based results typically outperform the direct-based results in aspects not directly linked to the nature of the problem itself, but to the emergence of properties found in biological organisms, like organicity, generalization capacity, or modularity aspects which are highly valuable in engineering. (C) 2010 Elsevier Ireland Ltd. All rights reserved.
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