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Description:: For stochastic simulation optimization in a modern computing era, we introduce a new parallel framework for solving very large-scale problems using a ranking & selection (R&S) approach that simulates all systems or feasible solutions to provide a global statistical guarantee. We propose a parallel adaptive survivor selection (PASS) framework that...
Keyword:: master-worker, simulation, parallel, stochastic, large-scale, and optimization
Subject:: Applied mathematics, Statistics, and Operations research
Creator:: Pei, Linda
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 06/22/2022
Date Created:: 2022-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_903888 and http://dissertations.umi.com/northwestern:16108

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