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1.
Optimum stacking sequence design of composite sandwich panel using genetic algorithms
by Bir, Amarpreet Singh, M.S.  California State University, Long Beach. 2012: 108 pages; 1521611.
2.
Preliminary bidding model using analytic hierarchy process and genetic algorithms
by Liu, Xiaoyu, M.S.  California State University, Long Beach. 2016: 139 pages; 10116162.
3.
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.
4.
Reconfiguration of multiprocessor systems with spares using genetic algorithms
by Bollineni, Venugopal, M.S.  California State University, Long Beach. 2009: 50 pages; 1472282.
5.
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.
6.
Statistical Support Algorithms for Clinical Decisions and Prevention of Genetic-related Heart Disease
by Sotero, Charity Faith Gallemit, M.S.  California State University, Long Beach. 2018: 80 pages; 10751893.
7.
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.
8.
Evolving effective micro behaviors for real-time strategy games
by Liu, Siming, Ph.D.  University of Nevada, Reno. 2015: 106 pages; 3707862.
9.
On mutation and crossover in the theory of evolutionary algorithms
by Richter, James Neal, Ph.D.  Montana State University. 2010: 300 pages; 3403059.
10.
Automated Feature Engineering for Deep Neural Networks with Genetic Programming
by Heaton, Jeff, Ph.D.  Nova Southeastern University. 2017: 201 pages; 10259604.
11.
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.
12.
Crater detection via genetic search methods to reduce image features
by Cohen, Joseph Paul, M.S.  University of Massachusetts Boston. 2013: 50 pages; 1550596.
13.
Methods for improving the design and performance of evolutionary algorithms
by Bassett, Jeffrey K., Ph.D.  George Mason University. 2012: 159 pages; 3549855.
14.
Associations and Confounding in High-Dimensional Genomics
by Darnell, Gregory Byer, Ph.D.  Princeton University. 2019: 169 pages; 13865166.
17.
Genetic stigmergy: Framework and applications
by Brandoff, Joshua Adam, M.S.  State University of New York at Binghamton. 2009: 76 pages; 1474673.
18.
19.
Altering the Genetic Code to Probe and Control the Flow of Genetic Information
by Ma, Natalie Jing, Ph.D.  Yale University. 2016: 148 pages; 10584955.
20.
Making decisions about genetic testing: Understanding the process in prenatal and cancer genetic contexts
by Weaver, Meredith Alison, Ph.D.  The Johns Hopkins University. 2010: 179 pages; 3440757.
21.
Clustering algorithms for next-generation sequencing data from heterogenous populations
by Prabhakara, Shruthi, Ph.D.  The Pennsylvania State University. 2012: 126 pages; 3737327.
22.
Structure Prediction and Variant Interpretation of Membrane Proteins Aided by Machine Learning Algorithms
by Li, Bian, Ph.D.  Vanderbilt University. 2018: 192 pages; 13917125.
23.
Multi-objective cultural algorithms
by Best, Christopher, M.S.  Wayne State University. 2009: 53 pages; 1465539.
24.
Optimization models and algorithms for designing wireless local area networks
by Kratz, Jason, Ph.D.  Southern Methodist University. 2011: 100 pages; 3489645.
28.
Time dependent vehicle routing in a large road network
by Zhang, Zhu, M.S.  Southern Illinois University at Edwardsville. 2014: 57 pages; 1571932.
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