Optimization phd thesis

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SOL PhD Dissertations

PhD thesis, Stanford University, June Antonino Del Gatto. A Subspace Method Based on a Differential Equation Approach to Solve Unconstrained Optimization Problems. PhD thesis, Stanford University, June Aparna Gupta (SCCM). Optimum Asset Allocation with Behavioral Utilities: A Plan for Acquiring and Consuming Retirement Funds. Optimization of Sourcing Decisions in Supply Chains, PhD thesis, Department of Industrial Engineering, North Carolina State University, Nuri Mehmet Gökhan. Development of a Simultaneous Design for Supply Chain Process for the Optimization of the Product Design and Supply Chain Configuration Problem, PhD thesis, School of Engineering, University of Pittsburgh, September MODELING AND OPTIMIZATION OF WASTEWATER TREATMENT PROCESS WITH A DATA-DRIVEN APPROACH by Xiupeng Wei A thesis submitted in partial fulfillment of the requirements for the Doctor of Philosophy degree in Industrial Engineering in the Graduate College of The University of Iowa May Thesis Supervisor: Professor Andrew Kusiak.

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A PhD thesis submitted to the School of Business and Social Sciences, Aarhus University, in partial fulfillment of the PhD degree in Economics and Business March Summary This thesis consists of three chapters, each of which constitutes a self-contained research pa-per. The three papers are all related to the modelling of optimisation. PhD Thesis Proposal The intent of this exam is to determine if the student has chosen a reasonable topic for the PhD, and has the necessary background to work on it. It should normally take place within one year of the completion of the first-stage comprehensives, and must be held at least one full semester before the PhD defence. MODELING AND OPTIMIZATION OF WASTEWATER TREATMENT PROCESS WITH A DATA-DRIVEN APPROACH by Xiupeng Wei A thesis submitted in partial fulfillment of the requirements for the Doctor of Philosophy degree in Industrial Engineering in the Graduate College of The University of Iowa May Thesis Supervisor: Professor Andrew Kusiak.

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A STUDY OF MULTI-OBJECTIVE OPTIMIZATION METHODS FOR ENGINEERING APPLICATIONS by R. Timothy Marler A thesis submitted in partial fulfillment of the requirements for the Doctor of Philosophy degree in Mechanical Engineering in the Graduate College of The University of Iowa May Thesis Supervisor: Professor Jasbir S. Arora. A PhD thesis submitted to the School of Business and Social Sciences, Aarhus University, in partial fulfillment of the PhD degree in Economics and Business March Summary This thesis consists of three chapters, each of which constitutes a self-contained research pa-per. The three papers are all related to the modelling of optimisation. In this thesis, we examine a recent paradigm for solving dynamic optimization prob-lems under uncertainty, whereby one considers decisions that depend directly on the sequence of observed disturbances. The resulting policies, called recourse decision rules, originated in Stochastic Programming, and have been widely adopted in recent.

PhD Thesis Proposal | Combinatorics and Optimization | University of Waterloo
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Machine Learning based Hyperheuristic algorithm

Feb 19,  · PhD thesis, University of York. Abstract This study comprises of three essays on the subject of financial risk management with applications in the fields of portfolio optimization, continuous and discrete time stochastic volatility (SV) modelling. MODELING AND OPTIMIZATION OF WASTEWATER TREATMENT PROCESS WITH A DATA-DRIVEN APPROACH by Xiupeng Wei A thesis submitted in partial fulfillment of the requirements for the Doctor of Philosophy degree in Industrial Engineering in the Graduate College of The University of Iowa May Thesis Supervisor: Professor Andrew Kusiak. Optimization of Sourcing Decisions in Supply Chains, PhD thesis, Department of Industrial Engineering, North Carolina State University, Nuri Mehmet Gökhan. Development of a Simultaneous Design for Supply Chain Process for the Optimization of the Product Design and Supply Chain Configuration Problem, PhD thesis, School of Engineering, University of Pittsburgh, September

Ph.D. theses on Evolutionary Multiobjective Optimization
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Deep learning for a pickup and delivery problem

PhD Thesis Proposal The intent of this exam is to determine if the student has chosen a reasonable topic for the PhD, and has the necessary background to work on it. It should normally take place within one year of the completion of the first-stage comprehensives, and must be held at least one full semester before the PhD defence. PhD thesis, Stanford University, June Antonino Del Gatto. A Subspace Method Based on a Differential Equation Approach to Solve Unconstrained Optimization Problems. PhD thesis, Stanford University, June Aparna Gupta (SCCM). Optimum Asset Allocation with Behavioral Utilities: A Plan for Acquiring and Consuming Retirement Funds. Feb 19,  · PhD thesis, University of York. Abstract This study comprises of three essays on the subject of financial risk management with applications in the fields of portfolio optimization, continuous and discrete time stochastic volatility (SV) modelling.