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A Novel Parallel Adaptive Survivor Selection Framework for Large-Scale Simulation Optimization

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