id: 05594860
dt: a
an: 05594860
au: Jansen, Thomas; Zarges, Christine
ti: A theoretical analysis of immune inspired somatic contiguous hypermutations
    for function optimization.
so: Andrews, Paul S. (ed.) et al., Artificial immune systems. 8th international
    conference, ICARIS 2009, York, UK, August 9‒12, 2009. Proceedings.
    Berlin: Springer (ISBN 978-3-642-03245-5/pbk). Lecture Notes in
    Computer Science 5666, 80-94 (2009).
py: 2009
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/978-3-642-03246-2_12
ab: Summary: Artificial immune systems can be applied to a variety of very
    different tasks including classical function optimization. There are
    even artificial immune systems tailored specifically for this task. In
    spite of the successful application there is little knowledge and
    hardly any theoretical investigation about how and why they perform
    well. Here a rigorous analysis for a specific type of mutation operator
    introduced for function optimization called somatic contiguous
    hypermutation is presented. While there are serious limitations to the
    performance of this operator even for simple optimization tasks it is
    proven that for some types of optimization problems it performs much
    better than standard bit mutations most often used in evolutionary
    algorithms.
rv: