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Many engineers designing a complex system would like to optimize its performance, and perform trade-off studies to better understand the impact of decisions. The complex systems are often modeled with functions that are non-linear, non-convex, multimodal, discontinuous and available only through computer programs. They may involve continuous and integer variables. In this talk, I will summarize some theoretical results regarding performance of random search algorithms, and discuss a new meta-control methodology that adaptively guides an interacting-particle algorithm with a filtering technique. Numerical results will be presented demonstrating how the meta-control methodology dynamically heats and cools a temperature parameter based on observed behavior of the algorithm to achieve desired performance characteristics (e.g., quality of the final outcome, algorithm running time, etc.). An application in engineering design of composites structures for aircraft fuselage, such as the new 787 Boeing composite aircraft, will be mentioned.

Presentation Date

18 Nov 2015

Publication Date

18 Nov 2015


Missouri University of Science and Technology

Source Publication Title

Fall 2015 - Bernard Sarchet Graduate Seminar Series


© 2015 Missouri University of Science and Technology, All rights reserved.

Document Type

Video - Course materials

Document Version

Final Version

File Type