Inproceedings,
Raising the Dead; Extending Evolutionary Algorithms with a Case-based Memory
Genetic Programming, Proceedings of EuroGP'2001, volume 2038 of LNCS, page 280--290. Lake Como, Italy, Springer-Verlag, (18-20 April 2001)
Abstract
In dynamically changing environments, the performance
of a standard evolutionary algorithm deteriorates. This
is due to the fact that the population, which is
considered to contain the history of the evolutionary
process, does not contain enough information to allow
the algorithm to react adequately to changes in the
fitness landscape. Therefore, we added a simple, global
case-based memory to the process to keep track of
interesting historical events. Through the introduction
of this memory and a storing and replacement scheme we
were able to improve the reaction capabilities of an
evolutionary algorithm with a periodically changing
fitness function.
