We would like to evaluate the XCS  Learning Classifier System (LCS ) to see if it can be applied to a specific aviation industry problem. We are interested in seeing whether it can offer an accessible representation model and evolve feasible strategies to predict future demand patterns endogenously, and in parallel with the supply side simulation.
This paper describes how to achieve a desired speedup by careful selection of appropriate algorithms for parallelization. Our target simulation is the Total Airport and Airspace Model (TAAM), a worldwide standard for aviation analysis. TAAM is designed as a sequential program, and we have increased its speed by incorporating multi-threaded algorithms with… (More)