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• W1974421754 abstract "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." @default.
• W1974421754 created "2016-06-24" @default.
• W1974421754 creator A5015818046 @default.
• W1974421754 creator A5021222550 @default.
• W1974421754 date "2010-09-01" @default.
• W1974421754 modified "2023-10-03" @default.
• W1974421754 title "Evolutionary development of tensegrity structures" @default.
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• W1974421754 doi "https://doi.org/10.1016/j.biosystems.2010.06.005" @default.
• W1974421754 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/20619314" @default.
• W1974421754 hasPublicationYear "2010" @default.
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