We present a software framework called CARAVAN, which was developed for comprehensive simulations on massive parallel computers. The framework runs user-developed simulators with various input parameters in parallel without requiring the knowledge of parallel programming. The framework is useful for exploring high-dimensional parameter spaces, for which sampling points must be dynamically determined based on the previous results. Possible use cases include optimization, data assimilation, and Markov-chain Monte Carlo sampling in parameter spaces. As a demonstration, we applied CARAVAN to an evacuation planning problem in an urban area. We formulated the problem as a multi-objective optimization problem, and searched for solutions using multi-agent simulations and a multi-objective evolutionary algorithm, which were developed as modules of the framework.
CITATION STYLE
Murase, Y., Matsushima, H., Noda, I., & Kamada, T. (2019). CARAVAN: A Framework for Comprehensive Simulations on Massive Parallel Machines. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11422 LNAI, pp. 130–143). Springer Verlag. https://doi.org/10.1007/978-3-030-20937-7_9
Mendeley helps you to discover research relevant for your work.