Zusammenfassung
In this paper we present results obtained when
comparing classic genetic programming (GP) with the
isolated multipopulation version. Our first discovery
was that sometimes, given a certain number of
individuals, it is useful to distribute them among
several populations even when no communication is
allowed. This consequently lead to research
concentrating on three main questions: firstly, how to
distribute individuals according to the problem in
hand; secondly, how many populations must be employed
in proportion to the effort and fitness involved when
solving a problem; and finally, how to use isolated
multipopulation GP in the classification of problems.
Nutzer