20 citations · 54 across the 6 of their papers we have counts for
6 papers
New Measures for Shaping Trajectories in Dynamic Optimization
Joshua L. Pulsipher, Benjamin R. Davidson, Victor M. Zavala
We propose a new class of measures for shaping time-dependent trajectories in dynamic optimization (DO). The proposed measures are analogous to risk measures used in stochastic opt…
A Unifying Modeling Abstraction for Infinite-Dimensional Optimization
Joshua L. Pulsipher, Weiqi Zhang, Tyler J. Hongisto +1
Infinite-dimensional optimization (InfiniteOpt) problems involve modeling components (variables, objectives, and constraints) that are functions defined over infinite-dimensional d…
Measuring and Optimizing System Reliability: A Stochastic Programming Approach
Joshua L. Pulsipher, Victor M. Zavala
We propose a computational framework to quantify (measure) and to optimize the reliability of complex systems. The approach uses a graph representation of the system that is subjec…
A Scalable Stochastic Programming Approach for the Design of Flexible Systems
Joshua L. Pulsipher, Victor M. Zavala
We study the problem of designing systems in order to minimize cost while meeting a given flexibility target. Flexibility is attained by enforcing a joint chance constraint, which…
A Computational Framework for Quantifying and Analyzing System Flexibility
Joshua L. Pulsipher, Daniel Rios, Victor M. Zavala
We present a computational framework for analyzing and quantifying system flexibility. Our framework incorporates new features that include: general uncertainty characterizations t…
A Mixed-Integer Conic Programming Formulation for Computing the Flexibility Index under Multivariate Gaussian Uncertainty
Joshua L. Pulsipher, Victor M. Zavala
We present a methodology for computing the flexibility index when uncertainty is characterized using multivariate Gaussian random variables. Our approach computes the flexibility i…