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1.
Optimization models and algorithms for designing wireless local area networks
by Kratz, Jason, Ph.D.  Southern Methodist University. 2011: 100 pages; 3489645.
2.
Cooperative particle swarm optimization for combinatorial problems
by Lapizco-Encinas, Grecia C., Ph.D.  University of Maryland, College Park. 2009: 152 pages; 3391379.
3.
Autonomic Performance Optimization with Application to Self-Architecting Software Systems
by Ewing, John M., Ph.D.  George Mason University. 2015: 207 pages; 3706982.
4.
A metaheuristic for the pickup and delivery problem with split-loads and its extension
by Yao, Dai, M.Sc.  Singapore Management University (Singapore). 2010: 126 pages; 1478230.
5.
Optimization Methods for Calibration and Analysis of Congested Freeway Facilities
by Trask, Joseph Lake, Ph.D.  North Carolina State University. 2017: 160 pages; 10610841.
6.
AIMOS: Automated Inferential Multi-Objective Optimization System
by Praharaj, Blake, M.S.  Southern Connecticut State University. 2017: 83 pages; 10249184.
7.
Designing a Robust Supply Chain Network Against Disruptions
by Pariazar, Mahmood, Ph.D.  University of Missouri - Columbia. 2013: 152 pages; 13877160.
8.
Model and algorithm for solving real time dial-a-ride problem
by Kim, Taehyeong, Ph.D.  University of Maryland, College Park. 2011: 187 pages; 3478951.
9.
Separating control from specification for parallel and distributed search algorithms
by See, Andrew G., Ph.D.  University of Connecticut. 2009: 173 pages; 3384551.
10.
Stochastic Cellular Manufacturing System Design and Control
by Egilmez, Gokhan, Ph.D.  Ohio University. 2012: 257 pages; 10631052.
11.
Enhanced Machine Learning Engine Engineering Using Innovative Blending, Tuning, and Feature Optimization
by Uddin, Muhammad Fahim, Ph.D.  University of Bridgeport. 2018: 192 pages; 13427950.
13.
Multi-objective cultural algorithms
by Best, Christopher, M.S.  Wayne State University. 2009: 53 pages; 1465539.
14.
On mutation and crossover in the theory of evolutionary algorithms
by Richter, James Neal, Ph.D.  Montana State University. 2010: 300 pages; 3403059.
15.
Ant colony inspired models for trust-based recommendations
by Alathel, Deema, Ph.D.  The George Washington University. 2015: 193 pages; 3686815.
16.
Time dependent vehicle routing in a large road network
by Zhang, Zhu, M.S.  Southern Illinois University at Edwardsville. 2014: 57 pages; 1571932.
17.
Physical planning to embrace interconnect dominance in power and performance
by Wang, Renshen, Ph.D.  University of California, San Diego. 2010: 60 pages; 3404703.
18.
Social network analysis: Determining betweenness centrality of a network using Ant Colony Optimization
by Rubano, Vincent, M.S.  Southern Connecticut State University. 2016: 117 pages; 10108549.
19.
Computational Models for Scheduling in Online Advertising
by Arkhipov, Dmitri I., Ph.D.  University of California, Irvine. 2016: 117 pages; 10168557.
20.
An architecture for global ubiquitous sensing
by Perez, Alfredo J., Ph.D.  University of South Florida. 2011: 108 pages; 3450109.
21.
22.
Characterization of polyester-rope suspended footbridges
by Segal, Edward Matthew, Ph.D.  Princeton University. 2015: 197 pages; 3728851.
23.
Optimization of Heterogeneous NoC for Fused CPU-GPU Architecture
by Alhubail, Lulwah, Ph.D.  University of California, Irvine. 2019: 127 pages; 13886231.
24.
Supply chain delivery performance: Points of view of a supplier and a buyer
by Bushuev, Maxim A., Ph.D.  Kent State University. 2013: 139 pages; 3618944.
26.
Resource Allocation and Scheduling in Heterogeneous Cloud Environments
by Lee, Gunho, Ph.D.  University of California, Berkeley. 2012: 111 pages; 3527037.
27.
Assessing Uncertainty and Risk in an Expeditionary Military Logistics Network
by McConnell, Brandon Mark, Ph.D.  North Carolina State University. 2018: 173 pages; 10970032.
28.
Motion reconstruction of animal groups: From schooling fish to swarming mosquitoes
by Butail, Sachit, Ph.D.  University of Maryland, College Park. 2012: 121 pages; 3543169.
29.
Two combinatorial optimization problems at the interface of computer science and operations research
by Kao, Gio K., Ph.D.  University of Illinois at Urbana-Champaign. 2008: 129 pages; 3337976.
30.
Optimal Subset Selection for Causal Inference Using Machine Learning and Particle Swarm Optimization
by Sharma, Dhruv, D.Engr.  The George Washington University. 2018: 132 pages; 10928545.
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