V. Scott Gordon, refereed publications
updated March 2024
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G. Shobaki, P. Muyan-Ozcelik, J. Hutton, B. Linck, V. Malyshenko, A. Kerbow, R. Ramirez-Ortega, V. Gordon (2024).
Instruction Scheduling for the GPU on the GPU --
PDF
IEEE/ACM International Symposium on Code Generation and Optimization (CGO'24)
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V. Gordon and J. Clevenger (2024).
Computer Graphics Programming in OpenGL with C++, 3rd Edition (textbook)
published by
Mercury Learning,
available at Amazon.com.
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G. Shobaki, V. Gordon, P. McHugh, T. Dubois, and A. Kerbow (2022).
Register-Pressure-Aware Instruction Scheduling Using Ant Colony Optimization --
PDF
ACM Transactions on Architecture and Code Optimization (TACO), vol. 19, Article 23, January 2022.
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V. Gordon and J. Clevenger (2021).
Computer Graphics Programming in OpenGL with Java, 3rd Edition (textbook)
published by
Mercury Learning,
available at Amazon.com.
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V. Gordon and J. Clevenger (2021).
Computer Graphics Programming in OpenGL with C++, 2nd Edition (textbook)
published by
Mercury Learning,
available at Amazon.com.
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V. Gordon and J. Clevenger (2019).
Computer Graphics Programming in OpenGL with Java, 2nd Edition (textbook)
published by
Mercury Learning,
available at Amazon.com.
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V. Gordon and J. Clevenger (2019).
Computer Graphics Programming in OpenGL with C++ (textbook)
published by
Mercury Learning,
available at Amazon.com.
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V. Gordon and J. Clevenger (2017).
Computer Graphics Programming in OpenGL with Java (textbook)
published by
Mercury Learning,
available at Amazon.com.
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V. Gordon, M. Vollmer, and C. Frayn (2014).
Trappy Minimax in Chess, and the Elusive Meaning of "Best Move" --
PDF
(unpublished).
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S. Ray, V. Gordon and L. Vaucher (2014).
Evolving QWOP Gaits --
PDF
(also a Humies finalist)
2014 Genetic and Evolutionary Computation Conference (GECCO 2014), Vancouver, BC, pg. 823-829.
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K. Biddle, V. Gordon, J. Crowder, J. Raskauskas, S. Zarek, J. Escobedo, and C. Nevarez (2014).
Motivating Underserved High School Students in Computer Science --
JPG
2014 Association for Psychological Science - 26th Annual Convention (APS 2014), San Francisco, CA (poster).
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V. Gordon, M. Rodriguez, K. Biddle, and J. Crowder (2013).
Socially Relevant Game Programming to Motivate and Advance STEM Education --
PDF
2013 International Society for Technology in Education Conference (ISTE 2013), San Antonio, TX.
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K. Biddle, V. Gordon, J. Raskauskas, M. Rodriguez, and S. Zarek (2013).
STEM Strategy: Mentoring Underserved 11th Graders in Computer Programming --
PDF
2013 International Society for Technology in Education Conference (ISTE 2013), San Antonio, TX.
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C. Aranha, C. Azevedo, V. Gordon, and H. Iba (2011).
Topological and Motion Strategies for Cellular Memetic Tree-Based Portfolio Optimization --
PDF
2011 Brazilian Congress on Compuational Intelligence (CBIC'11), Fortaleza (Ceara), Brazil.
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R. Derickson, K. Long, V. Gordon, A. Tana, and W. Tremblay (2010).
Coyotes, Jazz, and Creative Teams: Facing and Seeking Variance --
PDF
The 20th European Meeting on Cybernetics and Systems Research (EMCSR 2010), Vienna, Austria.
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C. Azevedo and V. Gordon (2009).
Adaptive Terrain-Based Memetic Algorithms --
PDF
2009 Genetic and Evolutionary Computation Conference (GECCO 2009), Montreal, Canada.
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T. Bender, V. Gordon, and M. Daniels (2009).
Partitioning Strategies for Modular Neural Networks --
PDF
2009 International Joint Conference on Neural Networks (IJCNN 2009), Atlanta GA.
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V. Gordon, M. Daniels, J. Boheman, M. Watstein, D. Goering, and B. Urban (2009).
Visualization Tool for a Self-Splitting Modular Neural Network --
PDF
2009 International Joint Conference on Neural Networks (IJCNN 2009), Atlanta GA.
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V. Gordon and J. Crouson (2008).
Self-Splitting Modular Neural Network - Domain Partitioning at Boundaries of Trained Regions --
PDF
2008 International Joint Conference on Neural Networks (IJCNN 2008), Hong Kong.
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V. Gordon (2008).
Neighbor Annealing for Neural Network Training --
PDF
2008 International Joint Conference on Neural Networks (IJCNN 2008), Hong Kong.
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V. Gordon (2008).
Experiences with Artificial Intelligence as an Undergraduate Creative Capstone Course --
PDF
AAAI 2008 Spring Symposium, Stanford, CA. pp 32-37.
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V. Gordon and Ahmed Reda (2006).
Trappy Minimax - using Iterative Deepening to Identify and Set Traps in Two-Player Games --
PDF
IEEE Symposium on Computational Intelligence and Games (CIG-2006), Reno, NV, pp 205-210.
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M. Olsen-Darter and V. Gordon (2005).
Vehicle Steering Control Using Modular Neural Networks --
PDF
IEEE International Conference on Information Reuse and Integration (IRI-2005), Las Vegas, NV, pp 374-379.
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S. Hwang, K. Cho, and V. Gordon (2005).
The Behavior Evolving Model and Application of Virtual Robots --
PDF
IEEE International Conference on Information Reuse and Integration (IRI-2005), Las Vegas, NV, pp 392-397.
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V. Gordon and J. Thein (2004).
Visualization Tool for a Terrain-Based Genetic Algorithm --
PDF
IEEE International Conference on Tools with Artificial Intelligence (ICTAI-2004), Boca Raton, FL, pp 401-406.
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V. Gordon and T. Slocum (2004).
The Knight's Tour - Evolutionary vs. Depth-First Search --
PDF
IEEE Congress on Evolutionary Computation (CEC2004), Portland, OR, pp 1435-1440.
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V. Gordon and Z. Matley (2004).
Evolving Sparse Direction Maps for Maze Pathfinding --
PDF
IEEE Congress on Evolutionary Computation (CEC2004), Portland, OR, pp 835-838.
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V. Gordon, R. Pirie, A. Wachter, and S. Sharp (1999).
Terrain-Based Genetic Algorithm (TBGA): Modeling Parameter Space as Terrain --
PDF
Proceedings of the Genetic and Evolutionary Computation Conference (ICGA-99), Orlando, Fl, pp 229-235.
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V. Gordon and J. Bieman (1995).
Rapid Prototyping: Lessons Learned --
PDF
IEEE Software, January 1995, Vol 12 No.1, pp 85-95.
(Translated to Dutch as:
Rapid Prototyping: Lessen uit de Praktijk.
IT Management Select No. 2 (June 1996).
Also reprinted in: C. Kemerer (1996)
Software Project Management: Readings and Cases,
published by IRWIN.
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V. Gordon and D. Whitley (1994).
A Machine-Independent Analysis of Parallel Genetic Algorithms --
PDF
Journal of Complex Systems 8 (1994), pp 181-214.
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V. Gordon (1994).
Asynchronous Parallelism in Steady-State Genetic Algorithms --
PDF
Neural And Stochastic Methods In Image And Signal Processing (SPIE'94), San Diego, Ca, pp 237-241.
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D. Whitley, V. Gordon, and K. Mathias (1994).
Lamarckian Evolution, the Baldwin Effect and Function Optimization --
PDF
Parallel Problem Solving from Nature (PPSN 3), Israel, pp 6-15.
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V. Gordon (1994).
Locality in Genetic Algorithms --
PDF
IEEE Conference on Evolutionary Computation (WCCI'94), Orlando, Fl, pp 428-432.
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V. Gordon, K. Mathias, and D. Whitley (1994).
Cellular Genetic Algorithms as Function Optimizers: Locality Effects --
PDF
Proceedings of the 9th Symposium on Applied Computing (SAC'94), Genetic Algorithms and Combinatorial Optimization.
Phoenix, Az, pp 237-241.
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V. Gordon, A. Bohm, and D. Whitley (1994).
A Note on the Performance of Genetic Algorithms on Zero-One Knapsack Problems --
PDF
Proceedings of the 9th Symposium on Applied Computing (SAC'94), Genetic Algorithms and Combinatorial Optimization.
Phoenix, Az, pp 194-195.
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V. Gordon and J. Bieman (1993).
Reported Effects of Rapid Prototyping on Industrial Software Quality --
PDF
Software Quality Journal, June 1993, pp 93-108.
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V. Gordon and D. Whitley (1993).
Serial and Parallel Genetic Algorithms as Function Optimizers --
PDF
Proceedings of the 5th International Conference on Genetic Algorithms (ICGA5). Urbana-Champaign, Il, pp 177-183.
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V. Gordon, D. Whitley, and A. Bohm (1992).
Dataflow Parallelism in Genetic Algorithms --
PDF
Parallel Problem Solving from Nature (PPSN 2).
Brussels, Belgium, pp 533-542. [1 of 8 selected for oral presentation from over 100 submissions].
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V. Gordon and J. Bieman (1991).
Rapid Prototyping and Software Quality: Lessons From Industry --
PDF
Proceedings of the Pacific Northwest Software Quality Conference.
Portland, Or, pp 19-29.
Book Chapters
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D. Whitley, V. Gordon, and W. Bohm (1997).
Knapsack Problems --
PDF
Handbook of Evolutionary Computation, c.1997 Oxford University Press, pp G9.7:1-6.
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