Complex dynamics in a collaborative evolutionary search model
Camelia Chira ♦ Anca Gog ♦ Daniela Zaharia ♦ Dan Dumitrescu
Abstract
creative_2008_17_3_346_356_abstractFull PDF
creative_2008_17_3_346_356The distributed collaborative evolutionary model analyzed in this paper is characterized by structuring the population using a fitness guided topology and by assigning the individuals to three societies characterized by differentmating strategies. Themembership of offsprings to societies is decided in a probabilistic manner using a dominance probability. The influence of this dominance probability on the dynamics of societies sizes is analyzed both empirically and theoretically. Consequently, values of the dominance probability leading to particular distributions of the population elements in societies are identified. Numerical experiments indicate a good performance of the proposed model.