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A platform for research: civil engineering, architecture and urbanism
Evolutionary multi-objective multi-architecture design space exploration methodology
Abstract The design of revolutionary aerospace vehicles is characterized by large design spaces, a lack of established baselines, and some uncertainty in the design and regulatory requirements that such vehicles will need to meet. A new evolutionary multi-architecture multi-objective optimization algorithm is presented to support design concept selection when faced with such challenges. The proposed approach allows designers to efficiently and exhaustively generate variable-oriented architectures that can be further optimized and compared. It provides a dynamic decision-making environment able to identify trends and trade-offs, and prioritize designs. The application of the proposed methodology to suborbital vehicles highlights key promising technological enablers, which can be leveraged to design high-performance and robust concepts.
Evolutionary multi-objective multi-architecture design space exploration methodology
Abstract The design of revolutionary aerospace vehicles is characterized by large design spaces, a lack of established baselines, and some uncertainty in the design and regulatory requirements that such vehicles will need to meet. A new evolutionary multi-architecture multi-objective optimization algorithm is presented to support design concept selection when faced with such challenges. The proposed approach allows designers to efficiently and exhaustively generate variable-oriented architectures that can be further optimized and compared. It provides a dynamic decision-making environment able to identify trends and trade-offs, and prioritize designs. The application of the proposed methodology to suborbital vehicles highlights key promising technological enablers, which can be leveraged to design high-performance and robust concepts.
Evolutionary multi-objective multi-architecture design space exploration methodology
Frank, Christopher P. (author) / Marlier, Renaud A. (author) / Pinon-Fischer, Olivia J. (author) / Mavris, Dimitri N. (author)
Optimization and Engineering ; 19 ; 359-381
2018-01-22
23 pages
Article (Journal)
Electronic Resource
English
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