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ORCIDV. Scott Gordon 0001
Person information
- affiliation: California State University, Sacramento, CA, USA
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2020 – today
- 2024
[c22]Ghassan Shobaki, Pinar Muyan-Özçelik, Josh Hutton, Bruce Linck, Vladislav Malyshenko, Austin Kerbow, Ronaldo Ramirez-Ortega, Vahl Scott Gordon:
Instruction Scheduling for the GPU on the GPU. CGO 2024: 435-447- 2022
- [j3]Ghassan Shobaki
, Vahl Scott Gordon, Paul McHugh, Theodore Dubois, Austin Kerbow:
Register-Pressure-Aware Instruction Scheduling Using Ant Colony Optimization. ACM Trans. Archit. Code Optim. 19(2): 23:1-23:23 (2022)
2010 – 2019
- 2014
- [c21]Steven Ray, Vahl Scott Gordon, Laurent Vaucher:
Evolving QWOP gaits. GECCO 2014: 823-830 - 2013
- [c20]JaeHyun Lee, Soonseok Kim, V. Scott Gordon:
National Standardization Strategy in Health Information Security Environment. ICITCS 2013: 1-3
2000 – 2009
- 2009
- [c19]Carlos R. B. Azevedo, V. Scott Gordon:
Adaptive terrain-based memetic algorithms. GECCO 2009: 747-754 - [c18]Timothy Bender, V. Scott Gordon, Michael Daniels:
Partitioning strategies for modular neural networks. IJCNN 2009: 296-301 - [c17]V. Scott Gordon, Michael Daniels, James Boheman, Marcus Watstein, Derek Goering, Brandon Urban:
Visualization tool for a Self-Splitting modular Neural Network. IJCNN 2009: 988-993 - 2008
- [c16]V. Scott Gordon:
Experiences with Artificial Intelligence as an Undergraduate Creative Capstone Course. AAAI Spring Symposium: Using AI to Motivate Greater Participation in Computer Science 2008: 32-37 - [c15]V. Scott Gordon:
Neighbor annealing for neural network training. IJCNN 2008: 1080-1084 - [c14]V. Scott Gordon, Jeb Crouson:
Self-splitting modular neural network - domain partitioning at boundaries of trained regions. IJCNN 2008: 1085-1091 - 2006
- [c13]V. Scott Gordon, Ahmed Reda:
Trappy Minimax - using Iterative Deepening to Identify and Set Traps in Two-Player Games. CIG 2006: 205-210 - 2005
- [c12]Michael Olsen Darter, V. Scott Gordon:
Vehicle steering control using modular neural networks. IRI 2005: 374-379 - [c11]Su-Chul Hwang, Kyung-Dal Cho, V. Scott Gordon:
The behavior evolving model and application of virtual robots. IRI 2005: 392-397 - 2004
- [c10]V. Scott Gordon, Zach Matley:
Evolving sparse direction maps for maze pathfinding. IEEE Congress on Evolutionary Computation 2004: 835-838 - [c9]V. Scott Gordon, Terrill J. Slocum:
The knight's tour - evolutionary vs. depth-first search. IEEE Congress on Evolutionary Computation 2004: 1435-1440 - [c8]V. Scott Gordon, James Thein:
Visualization Tool for a Terrain-Based Genetic Algorithm. ICTAI 2004: 401-406
1990 – 1999
- 1999
- [c7]V. Scott Gordon, Rebecca Pirie, Adam Wachter, Scottie Sharp:
Terrain-Based Genetic Algorithm (TBGA): Modeling Parameter Space as Terrain. GECCO 1999: 229-235 - 1995
- [j2]V. Scott Gordon, James M. Bieman:
Rapid Prototyping: Lessons Learned. IEEE Softw. 12(1): 85-95 (1995) - 1994
- [j1]V. Scott Gordon, L. Darrell Whitley:
A Machine-Independent Analysis of Parallel Genetic Algorithms. Complex Syst. 8(3) (1994) - [c6]V. Scott Gordon:
Locality in Genetic Algorithms. International Conference on Evolutionary Computation 1994: 428-432 - [c5]L. Darrell Whitley, V. Scott Gordon, Keith E. Mathias:
Lamarckian Evolution, The Baldwin Effect and Function Optimization. PPSN 1994: 6-15 - [c4]V. Scott Gordon, A. P. Wim Böhm, L. Darrell Whitley:
A note on the performance of genetic algorithms on zero-one knapsack problems. SAC 1994: 194-195 - [c3]V. Scott Gordon, Keith E. Mathias, L. Darrell Whitley:
Cellular genetic algorithms as function optimizers: locality effects. SAC 1994: 237-241 - 1993
- [c2]V. Scott Gordon, L. Darrell Whitley:
Serial and Parallel Genetic Algorithms as Function Optimizers. ICGA 1993: 177-183 - 1992
- [c1]V. Scott Gordon, L. Darrell Whitley, A. P. Wim Böhm:
Dataflow Parallelism in Genetic Algorithms. PPSN 1992: 539-548
Coauthor Index
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