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1.
Development and Testing of a Combined Neural-Genetic Algorithm to Identify CO2 Sequestration Candidacy Wells
by Zhang, Xiaohui, M.S.  University of Louisiana at Lafayette. 2015: 140 pages; 1594272.
5.
Application of Genetic Algorithm Optimization of Thermodynamic Fluids Designs
by Yobby, Jason, M.S.  Southern Illinois University at Edwardsville. 2017: 63 pages; 10606518.
6.
Route Optimization for Automated Bridge Inspection with Genetic Algorithm
by Harris, Nicholas, M.S.  University of Nevada, Reno. 2019: 51 pages; 27666630.
7.
DataVenom: A Genetic Algorithm Based Poisoning Attack Technique against Numeric Datasets
by Sloan, Joshua James, M.S.  University of Wyoming. 2020: 93 pages; 28257614.
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Application of a modified genetic algorithm to the trajectory optimization of a launch vehicle second stage
by Dalwadi, Mrugesh, M.S.  California State University, Long Beach. 2010: 87 pages; 1486451.
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12.
Automated Feature Engineering for Deep Neural Networks with Genetic Programming
by Heaton, Jeff, Ph.D.  Nova Southeastern University. 2017: 201 pages; 10259604.
13.
Exploring patterns of genetic diversity of a Malagasy ant species: Anochetus madagascarensis
by Lewis, Nicole A., M.S.  The University of Mississippi. 2011: 74 pages; 1501298.
14.
Genetic Analysis of Developmental Fidelity in C. elegans
by Alcorn, Melissa R., Ph.D.  University of California, Santa Barbara. 2020: 186 pages; 22587464.
15.
The Location-Scheduled Control Methodology as Applied to Nanosatellites
by Sorgenfrei, Matthew Charles, Ph.D.  University of California, Davis. 2013: 101 pages; 3565559.
16.
Interrogating Genetic Diversity in Mycobacterium abscessus with Transposon-Sequencing
by Akusobi, Chidi Daniels, Ph.D.  Harvard University. 2020: 195 pages; 28095112.
18.
Crater detection via genetic search methods to reduce image features
by Cohen, Joseph Paul, M.S.  University of Massachusetts Boston. 2013: 50 pages; 1550596.
19.
Robust computational tools for multiple testing with genetic association studies
by Welbourn, William L., Jr., Ph.D.  Utah State University. 2012: 326 pages; 3503198.
20.
Problems with crossover bias for binary string representations in genetic algorithms
by Cleary, Brian, M.S.  California State University, Long Beach. 2011: 57 pages; 1504439.
21.
A study of cell-based genetic algorithms with applications to neural networks
by Dinh, Hoa, M.S.  California State University, Long Beach. 2013: 62 pages; 1527480.
22.
The genetic diversity and population structure of the dugongs (Dugong dugon) of Thailand
by Bushell, Jessie B., M.S.  San Jose State University. 2013: 59 pages; 1552248.
23.
Efficient Algorithms for Detecting Genetic Interactions in Genome-Wide Association Study
by Zhang, Xiang, Ph.D.  The University of North Carolina at Chapel Hill. 2011: 110 pages; 3477518.
24.
Associations and Confounding in High-Dimensional Genomics
by Darnell, Gregory Byer, Ph.D.  Princeton University. 2019: 169 pages; 13865166.
25.
Microsatellite DNA assessment of the genetic mating system of the viviparous black rockfish, Sebastes melanops
by Karageorge, Kurt W., M.S.  California State University, Long Beach. 2009: 55 pages; 1481621.
26.
A game-theoretic comparison of genetic and model-based agents in learning strategic interactions
by Buntain, Cody, M.S.  The University of Alabama in Huntsville. 2010: 134 pages; 1484940.
27.
Reconfiguration of multiprocessor systems with spares using genetic algorithms
by Bollineni, Venugopal, M.S.  California State University, Long Beach. 2009: 50 pages; 1472282.
28.
Using genetic and molecular techniques to study anthocyanin production and protein expression in recombinant Escherichia coli
by Venkiteswaran, Sankaranarayanan, M.S.  State University of New York at Buffalo. 2011: 52 pages; 1500510.
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A new method for genetic network reconstruction in expression QTL data sets
by Duarte, Christine W., Ph.D.  North Carolina State University. 2009: 84 pages; 3395300.
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