abstract = "The tutorial demonstrates how to apply and analyse
metaheuristics using HeuristicLab, an open source
optimisation environment. It will be shown how to
parametrise and execute evolutionary algorithms to
solve combinatorial optimisation problems (travelling
salesman, vehicle routing) as well as data analysis
problems (regression, classification). The attendees
will learn how to assemble different algorithms and
parameter settings to a large scale optimization
experiment and how to execute such experiments on
multi-core or cluster systems. Furthermore, the
experiment results will be compared using
HeuristicLab's interactive charts for visual and
statistical analysis to gain knowledge from the
executed test runs. To complete the tutorial, it will
be sketched briefly how HeuristicLab can be extended
with further optimization problems and how custom
optimization algorithms can be modelled using the
graphical algorithm designer. Additional details on
HeuristicLab can be found at
http://dev.heuristiclab.com.",
notes = "Also known as \cite{2002143} Distributed on CD-ROM at
GECCO-2011.