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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
Distributed Optimization Methods In Large-Scale Systems With Realistic Constraints

Description:

Originally motivated by the emergence of networked systems lacking central coordination such as multiprocessors, wireless sensor networks and smart grids, the study of distributed optimization algorithms has been an active field of research spanning multiple decades. More recently, the rapid growth in the availability of high-dimensional datasets has posed the...

Keyword:

multi-agent systems, optimization, and distributed optimization

Subject:

Electrical engineering and Applied mathematics

Creator:

Iakovidou, Charikleia

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

09/22/2022

Date Created:

2022-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:16228 and etdadmin_upload_927521

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