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We present a first proof-of-concept use-case that demonstrates the efficiencyof interfacing the algorithm framework ParadisEO with the automated algorithmconfiguration tool irace and the experimental platform IOHprofiler. By combingthese three tools, we obtain a powerful benchmarking environment that allows usto systematically analyze large classes of algorithms on complex benchmarkproblems. Key advantages of our pipeline are fast evaluation times, thepossibility to generate rich data sets to support the analysis of thealgorithms, and a standardized interface that can be used to benchmark verybroad classes of sampling-based optimization heuristics.  In addition to enabling systematic algorithm configuration studies, ourapproach paves a way for assessing the contribution of new ideas in interplaywith already existing operators -- a promising avenue for our research domain,which at present may have a too strong focus on comparing entire algorithminstances.

Towards Large Scale Automated Algorithm Design by Integrating Modular Benchmarking Frameworks