ALPS evaluation in financial portfolio optimisation

Hornby´s age-layered population structure claims to reduce premature convergence in evolutionary algorithms. We provide the first evaluation of ALPS on a real- world problem - the evolution of non-linear factor models for financial portfolio optimisation. We incorporate ALPS into our GP system, coupled to an investment simulator, and provide a head-to-head comparison between ALPS GP and Standard GP. By investigating the performance of ALPS both during training and during out-of-sample validation, we provide empirical evidence of the benefits of ALPS; we show that it really does reduce convergence, and provides fitter individuals, in our problem domain. The ALPS GP system evolves non-linear factor models that out-perform not only the standard GP system, but also the market index by a significant amount.