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Search heuristics, particularly those that are evaluation-driven (e.g.,evolutionary computation), are often performed in simulation, enablingexploration of large solution spaces. Yet simulation may not truly replicatereal-world conditions. However, search heuristics have been proven to besuccessful when executed in real-world constrained environments that limitsearching ability even with broad solution spaces. Moreover, searching in situprovides the added benefit of exposing the search heuristic to the exactconditions and uncertainties that the deployed application will face. Softwareengineering problems can benefit from in situ search via instantiation andanalysis in real-world environments. This paper introduces Search@Home, anenvironment comprising heterogeneous commercial off-the-shelf devices enablingrapid prototyping of optimization strategies for real-world problems.

Search@Home: A Commercial Off-the-Shelf Environment for Investigating Optimization Problems