2018年11月7日
CARAVAN: a framework for comprehensive simulations on massive parallel machines
Massively Multi-Agent Systems II
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- 開始ページ
- 130
- 終了ページ
- 143
- 記述言語
- 掲載種別
- 論文集(書籍)内論文
- DOI
- 10.1007/978-3-030-20937-7_9
- 出版者・発行元
- Springer International Publishing
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.
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.
- リンク情報
- ID情報
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- DOI : 10.1007/978-3-030-20937-7_9
- ISSN : 0302-9743
- eISSN : 1611-3349
- arXiv ID : arXiv:1811.08801