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Erschienen in:
2019 | OriginalPaper | Buchkapitel
CARAVAN: A Framework for Comprehensive Simulations on Massive Parallel Machines
verfasst von : Yohsuke Murase, Hiroyasu Matsushima, Itsuki Noda, Tomio Kamada
Erschienen in: Massively Multi-Agent Systems II
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Abstract
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.