Abstract
This paper proposes a computational model for solving optimisation problems that mimics the principle of evolutionary transitions in individual complexity. More specifically it incorporates mechanisms for the emergence of increasingly complex individuals from the interaction of more simple ones. The biological principles for transition are outlined and mapped onto an evolutionary computation context. The class of binary constraint satisfaction problems is used to illustrate the transition mechanism.
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Defaweux, A., Lenaerts, T., van Hemert, J. (2005). Evolutionary Transitions as a Metaphor for Evolutionary Optimisation. In: Capcarrère, M.S., Freitas, A.A., Bentley, P.J., Johnson, C.G., Timmis, J. (eds) Advances in Artificial Life. ECAL 2005. Lecture Notes in Computer Science(), vol 3630. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553090_35
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DOI: https://doi.org/10.1007/11553090_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28848-0
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