Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"chance-constrained optimization"”.
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OPTIMIZATION AND LEARNING UNDER UNCERTAINTY - A UNIFIED ROBUSTNESS PERSPECTIVE
… computational aspects of distributionally robust chance constrained optimization with non-linear uncertainties, and apply this technique in machine learning both theoretically and algorithmically, i.e., we provide a new robustness interpretation of Lasso-like algorithms and regularized SVMs. …
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Emergency Medical Services Response Optimization
… medical emergencies. In this thesis, we combine optimization and machine learning to solve challenging EMS response problems in two diverse settings: Dhaka, Bangladesh - an urban center in a developing country, and Toronto, Canada - an urban center in a developed country. These settings are …
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Threat Assessment and Proactive Decision-Making for Crash Avoidance in Autonomous Vehicles
… The crash avoidance problem is formulated as a chance-constrained optimization problem to account for uncertainty in the surrounding vehicle's motion. These chance-constraints always ensure a minimum probabilistic safety of the autonomous vehicle by keeping the probability of crash below a …
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Computational Techniques for Stochastic Reachability
… probabilities. The second method uses a convex chance-constrained optimization problem to generate an under-approximation to the reachable set. Using these methods we are able to generate stochastic reachable sets for a four-dimensional spacecraft docking example in far less time than it would …
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Robust distributed planning strategies for autonomous multi-agent teams
… problem can be formulated as a combinatorial optimization (mixed-integer program) involving nonlinear and time-varying system dynamics. For most problems of interest, optimal solution methods are computationally intractable (NP-Hard), and centralized planning approaches, which usually require …
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Strategies for Effective Mitigation of Infectious Diseases, with Focus on COVID-19
… and routine screening. We introduce an optimization framework that considers the dual role of screening as both a mitigation tool and a non-monetary incentive. This framework necessitates a novel optimization model for incentive design, integrated with a utility-based decision model that …