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 8 of 8 for “"Inverse optimization"”.
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Inverse optimization applied to fixed charge models
Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, 1981
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Generalized Inverse Optimization with Application to Cancer Therapy
Inverse optimization has recently received a growing amount of attention as a data-driven approach to determining parameter values for an optimization problem. In this thesis, we study new inverse optimization methodologies that generalize the traditional method of solving inverse optimization …
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Application of robust and inverse optimization in transportation
We study the use of inverse and robust optimization to address two problems in transportation: finding the travel times and designing a transportation network. We assume that users choose the route selfishly and the flow will eventually reach an equilibrium state (User Equilibrium). The first part …
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Inverse optimization of discrete-time systems applied to human locomotion
The problem of inverse optimization is to find the objective function that is being minimized, given knowledge of the constraints and observations of local minima. In this thesis, we consider the special case in which the objective function is a linear combination of known basis functions weighted …
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Three papers on inverse optimization algorithms, PEV sales forecasting, and PEVs' potential impact on power systems
<p>This thesis consists of three journal papers that I have been worked on during my PhD program of study.</p> <p>The first paper presents heuristic algorithms that are designed to be implemented and executed in parallel with an existing algorithm in order to overcome its two limitations. …
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Global solution to parametric complementarity constrained programs and applications in optimal parameter selection
… parametric complementarity constrained program, inverse optimization, is defined in this chapter. A linear program with linear complementarity constraints (LPCC) is among the simplest mathematical programs with complementarity constraints. Yet the global solution of the LPCC remains difficult to …
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Data-driven models for uncertainty and behavior
… data to design uncertainty sets for robust optimization using hypothesis testing. The approach is flexible and widely applicable, and robust optimization problems built from our new data driven sets are computationally tractable, both theoretically and practically. Optimal solutions to these …
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Optimization-based auctions and stochastic assembly replenishment policies for industrial procurement
… from classical auction theory, we construct an optimization based auction mechanism ("Smart Market") relying on the dynamic resolution of a linear program minimizing the buyer's cost under the suppliers' capacity constraints. Based on the optimal allocation corresponding to each set of bids, …