The primary goal of this paper is to understand the dynamics of interaction in a population of individuals using a simple but representative evolutionary approach. The paper studies the effect of different parameters, like population size, strength of selection and different selection regimes, on the performance of an evolutionary algorithm in terms of speed of fixation and fixation to suboptimal individuals. It looks at evolution as a process of adaptation rather than an optimization, thus the evolutionary model is closer to the population genetics approach than to the most commonly used genetic algorithm model.
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