Dataflow Parallelism in Genetic Algorithms. - V. Scott Gordon 001; L. Darrell Whitley; A. P. Wim Böhm (PPSN, 1992)

Serial and Parallel Genetic Algorithms as Function Optimizers. - V. Scott Gordon 001; L. Darrell Whitley (ICGA, 1993)

Locality in Genetic Algorithms. - V. Scott Gordon 001 (International Conference on Evolutionary Computation, 1994)

Lamarckian Evolution, The Baldwin Effect and Function Optimization. - L. Darrell Whitley; V. Scott Gordon 001; Keith E. Mathias (PPSN, 1994)

A note on the performance of genetic algorithms on zero-one knapsack problems. - V. Scott Gordon 001; A. P. Wim Böhm; L. Darrell Whitley (SAC, 1994)

Cellular genetic algorithms as function optimizers: locality effects. - V. Scott Gordon 001; Keith E. Mathias; L. Darrell Whitley (SAC, 1994)

A Machine-Independent Analysis of Parallel Genetic Algorithms. - V. Scott Gordon 001; L. Darrell Whitley (Complex Syst., 1994)

Rapid Prototyping: Lessons Learned. - V. Scott Gordon 001; James M. Bieman (IEEE Softw., 1995)

Terrain-Based Genetic Algorithm (TBGA): Modeling Parameter Space as Terrain. - V. Scott Gordon 001; Rebecca Pirie; Adam Wachter; Scottie Sharp (GECCO, 1999)

Evolving sparse direction maps for maze pathfinding. - V. Scott Gordon 001; Zach Matley (IEEE Congress on Evolutionary Computation, 2004)

The knight's tour - evolutionary vs. depth-first search. - V. Scott Gordon 001; Terrill J. Slocum (IEEE Congress on Evolutionary Computation, 2004)

Visualization Tool for a Terrain-Based Genetic Algorithm. - V. Scott Gordon 001; James Thein (ICTAI, 2004)

Vehicle steering control using modular neural networks. - Michael Olsen Darter; V. Scott Gordon 001 (IRI, 2005)

The behavior evolving model and application of virtual robots. - Su-Chul Hwang; Kyung-Dal Cho; V. Scott Gordon 001 (IRI, 2005)

Trappy Minimax - using Iterative Deepening to Identify and Set Traps in Two-Player Games. - V. Scott Gordon 001; Ahmed Reda (CIG, 2006)

Experiences with Artificial Intelligence as an Undergraduate Creative Capstone Course. - V. Scott Gordon 001 (AAAI Spring Symposium: Using AI to Motivate Greater Participation in Computer Science, 2008)

Neighbor annealing for neural network training. - V. Scott Gordon 001 (IJCNN, 2008)

Self-splitting modular neural network - domain partitioning at boundaries of trained regions. - V. Scott Gordon 001; Jeb Crouson (IJCNN, 2008)

Adaptive terrain-based memetic algorithms. - Carlos R. B. Azevedo; V. Scott Gordon 001 (GECCO, 2009)

Partitioning strategies for modular neural networks. - Timothy Bender; V. Scott Gordon 001; Michael Daniels (IJCNN, 2009)

Visualization tool for a Self-Splitting modular Neural Network. - V. Scott Gordon 001; Michael Daniels; James Boheman; Marcus Watstein; Derek Goering; Brandon Urban (IJCNN, 2009)

National Standardization Strategy in Health Information Security Environment. - JaeHyun Lee; Soonseok Kim; V. Scott Gordon 001 (ICITCS, 2013)

Evolving QWOP gaits. - Steven Ray; Vahl Scott Gordon; Laurent Vaucher (GECCO, 2014)

Register-Pressure-Aware Instruction Scheduling Using Ant Colony Optimization. - Ghassan Shobaki; Vahl Scott Gordon; Paul McHugh; Theodore Dubois; Austin Kerbow (ACM Trans. Archit. Code Optim., 2022)

Instruction Scheduling for the GPU on the GPU. - Ghassan Shobaki; Pinar Muyan-Özçelik; Josh Hutton; Bruce Linck; Vladislav Malyshenko; Austin Kerbow; Ronaldo Ramirez-Ortega; Vahl Scott Gordon (CGO, 2024)