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Novel Models in Evolutionary Designing

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Simulated Evolution and Learning (SEAL 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1585))

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Abstract

This paper introduces and describes a number of novel models of evolutionary designing beyond that of genetic algorithms and genetic programming treating designing as search. The focus in many of these novel approaches when applied to designing is to add to the range of possible designs which might be able to be produced during an evolutionary process. Four approaches are briefly described: genetic engineering; reverse engineering of emergent features in the phenotypes; developmental biology and generalizing crossover.

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References

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  8. Gero, J. S. and Kazakov, V.: Adaptive expansion of search spaces using emergent features, in J. Slaney, G. Antoniou and M. Maher (eds), AI’98, Griffith University, Brisbane, Australia (1998) 25–36

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© 1999 Springer-Verlag Berlin Heidelberg

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Gero, J.S. (1999). Novel Models in Evolutionary Designing. In: McKay, B., Yao, X., Newton, C.S., Kim, JH., Furuhashi, T. (eds) Simulated Evolution and Learning. SEAL 1998. Lecture Notes in Computer Science(), vol 1585. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48873-1_49

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  • DOI: https://doi.org/10.1007/3-540-48873-1_49

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65907-5

  • Online ISBN: 978-3-540-48873-6

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