by A Defaweux, T Lenaerts and van Hemert, J
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.
Reference:
Evolutionary Transitions as a Metaphor for Evolutionary Optimization (A Defaweux, T Lenaerts and van Hemert, J), In Advances in Artificial Life (M Capcarrere, AA Freitas, PJ Bentley, CG Johnson, J Timmis, eds.), Springer, volume 3630, 2005.
Bibtex Entry:
@article{DLH2005,
_day = {09},
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.},
author = {A Defaweux and T Lenaerts and van Hemert, J},
date-added = {2008-08-18 12:44:11 +0100},
date-modified = {2008-08-18 12:44:11 +0100},
editor = {M Capcarrere and AA Freitas and PJ Bentley and CG Johnson and J Timmis},
isbn = {3-540-28848-1},
journal = {Advances in Artificial Life},
keywords = {constraint satisfaction; evolutionary computation},
pages = {342--352},
pdf = {http://www.vanhemert.co.uk/publications/eval2005-Evolutionary_Transitions_as_a_Metaphor_for_Evolutionary_Computation.pdf},
publisher = {Springer},
series = {LNAI},
title = {Evolutionary Transitions as a Metaphor for Evolutionary Optimization},
volume = {3630},
year = {2005}}