Describes an integrated framework for system-of-systems modeling and optimization of intermodal mobility that relies on surrogate-based algorithms to manage computational complexity.
Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design
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System-of-systems Modeling and Optimization: An Integrated Framework for Intermodal Mobility
Describes an integrated framework for system-of-systems modeling and optimization of intermodal mobility that relies on surrogate-based algorithms to manage computational complexity.