Experimental study of isolated multipopulation genetic programming
F.V. Fernández, Marco Tomassini, J.M. Sanchez · 2002
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.