| 2008 |
|---|
| 59 | EE | Hugo de Garis:
Artificial Brains: An Evolved Neural Net Module Approach.
Computational Intelligence: A Compendium 2008: 797-848 |
| 2007 |
|---|
| 58 | EE | Hugo de Garis,
Tang Jian Yu,
Huang Di:
Artificial Brains - A Cheap Method for Speeding the Evolution of Neural Network Modules for Artificial Brain Building.
IJCNN 2007: 2835-2839 |
| 57 | EE | Hui Shi,
Sanyou Y. Zeng,
Hui Wang,
Gang Liu,
Guang Chen,
Hugo de Garis,
Lishan Kang:
A Novel Lower-Dimensional-Search Algorithm for Numerical Optimization.
ISICA 2007: 214-223 |
| 2006 |
|---|
| 56 | EE | Hugo de Garis:
Hardware Accelerators for Evolving Building Block Modules for Artificial Brains.
AHS 2006: 222-224 |
| 55 | EE | Sanyou Y. Zeng,
Rui Wang,
Hui Shi,
Guang Chen,
Hugo de Garis,
Lishan Kang,
Lixin X. Ding:
Both robust computation and mutation operation in dynamic evolutionary algorithm are based on orthogonal design.
GECCO 2006: 1437-1438 |
| 2005 |
|---|
| 54 | EE | Sanyou Y. Zeng,
Hugo de Garis,
Jun He,
Lishan Kang:
A novel evolutionary algorithm based on an orthogonal design for dynamic optimization problems (ODEA).
Congress on Evolutionary Computation 2005: 1188-1195 |
| 53 | EE | Hugo de Garis,
Thayne Batty,
Wang Ce:
FemtoComputing: New Architectural Ideas for Procedural and Evolutionary Computers Whose Components Switch in Femto-Seconds.
Evolvable Hardware 2005: 301-306 |
| 52 | EE | Hugo de Garis:
Conference Review: Evolvable Hardware 2005.
Evolutionary Computation 13(4): 545-550 (2005) |
| 2004 |
|---|
| 51 | EE | Hugo de Garis,
Thayne Batty:
The Evolution of Robust, Reversible, Nano-Scale, Femto-Second-Switching Circuits.
Evolvable Hardware 2004: 291-297 |
| 50 | EE | Hugo de Garis,
Thayne Batty:
Why Do Machine Learning Based Techniques Fail to Accelerate the Evolution of Neural Networks?
KES 2004: 905-913 |
| 49 | EE | Hugo de Garis:
Introduction to Evolutionary Computing.
Evolutionary Computation 12(2): 269-271 (2004) |
| 48 | EE | Hugo de Garis:
Conference Review: Evolvable Hardware 2004. The 2004 NASA/DoD Conference on Evolvable Hardware. Ricardo S. Zebulum, David Gwaltney, Gregory Hornby, Didier Keymeulen, Jason Lohn, Adrian Stoica, eds., Seattle, Washington, USA. IEEE Computer Society Press, 2004, ISBN 0-7695-2145-2, pp 352).
Evolutionary Computation 12(3): 397-402 (2004) |
| 47 | EE | Kang Zhuo,
Li Yan,
Hugo de Garis,
David Evans,
Lishan Kang:
Multi-modal function optimization with the ZEDS (zoomed evolutionary dual strategy) algorithmzoomed evolutionary algorithm.
Int. J. Comput. Math. 81(6): 675-684 (2004) |
| 46 | EE | Jonathan Dinerstein,
Parris K. Egbert,
Hugo de Garis,
Nelson Dinerstein:
Fast and learnable behavioral and cognitive modeling for virtual character animation.
Journal of Visualization and Computer Animation 15(2): 95-108 (2004) |
| 2003 |
|---|
| 45 | EE | Jonathan Dinerstein,
Nelson Dinerstein,
Hugo de Garis:
Automatic Multi-Module Neural Network Evolution in an Artificial Brain.
Evolvable Hardware 2003: 283-286 |
| 44 | EE | Hugo de Garis,
Amit Gaur,
Ravichandra Sriram:
Quantum versus Evolutionary Systems. Total versus Sampled Search.
ICES 2003: 457-465 |
| 43 | | Hugo de Garis,
Ravichandra Sriram:
Building Artificial Brains at Universities Using a Purely Software Based Approach.
MLMTA 2003: 192-196 |
| 2002 |
|---|
| 42 | EE | Hugo de Garis,
Jonathan Dinerstein,
Ravichandra Sriram:
Reversible Evolvable Networks: A Reversible Evolvable Boolean Network Architecture and Methodology to Overcome the Heat Generation Problem in Molecular Scale Brain Building.
Evolvable Hardware 2002: 274-275 |
| 41 | EE | Jonathan Dinerstein,
Hugo de Garis:
"TiPo" - A "Timed Pointer" Neural Net Model with Superior Evolvabilities for Implementation in a Second-Generation Brain-Building Machine BM.
Evolvable Hardware 2002: 276-278 |
| 40 | | Lishan Kang,
Zhou Kang,
Yan Li,
Hugo de Garis:
A Two Level Evolutionary Modeling System For Financial Data.
GECCO 2002: 1113-1118 |
| 39 | | Sabra Dinerstein,
Jonathan Dinerstein,
Hugo de Garis,
Nelson Dinerstein:
A Data Streaming Approach to Pattern Recognition with Evolvable Neural Networks.
GECCO Late Breaking Papers 2002: 104-108 |
| 38 | | Hugo de Garis,
Jonathan Dinerstein,
Ravichandra Sriram:
A Reversible Evolvable Network Architecture and Methodology to Overcome the Heat Generation Problem in Molecular Scale Brain Building.
GECCO Late Breaking Papers 2002: 83-90 |
| 37 | | Jonathan Dinerstein,
Hugo de Garis,
Sabra Dinerstein,
Nelson Dinerstein:
TiPo - A New Dynamic Neural Net Model for Implementation in a Brain Building Machine.
GECCO Late Breaking Papers 2002: 99-103 |
| 36 | EE | Yan Li,
Lishan Kang,
Hugo de Garis,
Zhuo Kang,
Pu Liu:
A Robust Algorithm for Solving Nonlinear Programming Problems.
Int. J. Comput. Math. 79(5): 523-536 (2002) |
| 35 | EE | Hugo de Garis:
Special issue on Evolutionary Neural Systems.
Neurocomputing 42(1-4): 1-8 (2002) |
| 34 | EE | Hugo de Garis,
Michael Korkin:
The CAM-Brain Machine (CBM): an FPGA-based hardware tool that evolves a 1000 neuron-net circuit module in seconds and updates a 75 million neuron artificial brain for real-time robot control.
Neurocomputing 42(1-4): 35-68 (2002) |
| 2001 |
|---|
| 33 | EE | Hugo de Garis,
Leo de Penning,
Andrzej Buller,
Derek Decesare:
Early Experiments On The Cam-Brain Machine (Cbm).
Evolvable Hardware 2001: 211-222 |
| 32 | EE | Hugo de Garis,
Andrzej Buller,
Leo de Penning,
Tomasz Chodakowski,
Derek Decesare:
Initial Evolution Results on CAM-Brain Machines (CBMs).
ICANN 2001: 814-819 |
| 31 | | Hugo de Garis,
Michael Korkin,
Gary Fehr:
The CAM-Brain Machine (CBM): An FPGA Based Tool for Evolving a 75 Million Neuron Artificial Brain to Control a Lifesized Kitten Robot.
Auton. Robots 10(3): 235-249 (2001) |
| 30 | | Hugo de Garis:
The second NASA/DoD workshop on evolvable hardware.
IEEE Trans. Evolutionary Computation 5(3): 298-302 (2001) |
| 2000 |
|---|
| 29 | EE | Hugo de Garis,
Andrzej Buller,
Thierry Dob,
Jean Honlet,
Padma Guttikonda,
Derek Decesare:
Building Multimodule Systems with Unlimited Evolvable Capacities from Modules with Limited Evolvable Capacities (MECs).
Evolvable Hardware 2000: 225-236 |
| 28 | EE | Hugo de Garis,
Michael Korkin,
Padma Guttikonda,
Donald H. Cooley:
Simulating the Evolution of 2D Pattern Recognition on the CAM-Brain Machine, an Evolvable Hardware Tool for Building a 75 Million Neuron Artificial Brain.
IJCNN (6) 2000: 606-612 |
| 27 | | Hongqing Cao,
Lishan Kang,
Tao Guo,
Yuping Chen,
Hugo de Garis:
A two-level hybrid evolutionary algorithm for modeling one-dimensional dynamic systems by higher-order ODE models.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 30(2): 351-357 (2000) |
| 26 | EE | Hugo de Garis,
Michael Korkin:
The CAM-Brain Machine (CBM): Real Time Evolution and Update of a 75 Million Neuron FPGA-Based Artificial Brain.
VLSI Signal Processing 24(2-3): 241-262 (2000) |
| 1999 |
|---|
| 25 | EE | Hugo de Garis,
Norberto Eiji Nawa,
Andrzej Buller,
Michael Korkin,
Felix A. Gers,
Michael Hough:
ATR's Artificial Brain ("Cam-Brain") Project a Sample of what Individual "CoDi-1Bit" Model Evolved Neural Net Modules can do with Digital and Analog I/O.
Evolvable Hardware 1999: 102-110 |
| 24 | | Hugo de Garis,
Andrzej Buller,
Michael Korkin,
Felix A. Gers,
Norberto Eiji Nawa,
Michael Hough:
ATR's Artificial Brain ("CAM-Brain") Project: A Sample of What Individual "CoDi-1Bit" Model Evolved Neural Net Modules Can Do with Digital and Analog I/O.
GECCO 1999: 1233 |
| 23 | | Hugo de Garis:
Proceedings of the first NASD/DoD workshop on evolvable hardware.
IEEE Trans. Evolutionary Computation 3(4): 304-306 (1999) |
| 1998 |
|---|
| 22 | EE | Michael Korkin,
Norberto Eiji Nawa,
Hugo de Garis:
A ``Spike Interval Information Coding'' Representation for ATR's CAM-Brain Machine (CBM).
ICES 1998: 256-267 |
| 21 | | Norberto Eiji Nawa,
Michael Korkin,
Hugo de Garis:
Digital Spikes: Information Representation in ATR's CAM-Brain Machine.
ICONIP 1998: 93-96 |
| 1997 |
|---|
| 20 | EE | Felix A. Gers,
Hugo de Garis,
Michael Korkin:
CoDi-1Bit: A Simplified Cellular Automata Based Neuron Model.
Artificial Evolution 1997: 315-334 |
| 19 | EE | Hugo de Garis,
Lishan Kang,
Qiming He,
Zhengjun Pan,
Masahiro Ootani,
Edmund M. A. Ronald:
Million Module Neural Systems Evolution - The Next Step in ATR's Billion Neuron Artificial Brain (``CAM-Brain'') Project.
Artificial Evolution 1997: 335-347 |
| 1996 |
|---|
| 18 | | Felix A. Gers,
Hugo de Garis:
CAM-Brain: A New Model for ATR's Cellular Automata Based Artificial Brain Project.
ICES 1996: 437-452 |
| 17 | | Hugo de Garis:
Cam-Brain: ATR's Billion Neuron Artificial Brain Project - A Three Year Progress Report.
International Conference on Evolutionary Computation 1996: 886-891 |
| 1995 |
|---|
| 16 | | Hitoshi Iba,
Taisuke Sato,
Hugo de Garis:
Temporal Data Processing Using Genetic Programming.
ICGA 1995: 279-286 |
| 15 | | Hugo de Garis:
"CAM-BRAIN" ATR's Billion Neuron Artificial Brain Project - A Three Year Progress Report.
IEEE/Nagoya-University World Wisepersons Workshop 1995: 215-243 |
| 14 | | Hugo de Garis:
CAM-BRAIN: The Evolutionary Engineering of a Billion Neuron Artificial Brain by 2001 Which Grows/Evolves at Electronic Speeds Inside a Cellular Automata Machine (CAM).
Towards Evolvable Hardware 1995: 76-98 |
| 13 | | Hitoshi Iba,
Hugo de Garis,
Taisuke Sato:
A Numerical Approach to Genetic Programming for System Identification.
Evolutionary Computation 3(4): 417-452 (1995) |
| 1994 |
|---|
| 12 | | Hugo de Garis:
The Genetic Programming of an Artificial Brain Which Grows/Evolves at Electronic Speeds in a Cellular Automata Machine.
International Conference on Evolutionary Computation 1994: 337-339 |
| 11 | | Hitoshi Iba,
Taisuke Sato,
Hugo de Garis:
System Identification Approach to Genetic Programming.
International Conference on Evolutionary Computation 1994: 401-406 |
| 10 | | Hitoshi Iba,
Hugo de Garis,
Taisuke Sato:
Genetic Programming with Local Hill-Climbing.
PPSN 1994: 302-311 |
| 9 | | Hugo de Garis:
An Artificial Brain: ATR's CAM-Brain Project Aims to Build/Evolve an Artificial Brain with a Million Neural Net Modules Inside a Trillion Cell Cellular Automata Machine.
New Generation Comput. 12(2): 215-221 (1994) |
| 1993 |
|---|
| 8 | | William M. Spears,
Kenneth A. De Jong,
Thomas Bäck,
David B. Fogel,
Hugo de Garis:
An Overview of Evolutionary Computation.
ECML 1993: 442-459 |
| 7 | | Hitoshi Iba,
Takio Kurita,
Hugo de Garis,
Taisuke Sato:
System Identification using Structured Genetic Algorithms.
ICGA 1993: 279-286 |
| 6 | | Hitoshi Iba,
Tetsuya Higuchi,
Hugo de Garis,
Taisuke Sato:
Evolutionary Learning Strategy using Bug-Based Search.
IJCAI 1993: 960-966 |
| 1992 |
|---|
| 5 | | Hugo de Garis,
Hitoshi Iba,
Tatsumi Furuya:
Differentiable Chromosomes: The Genetic Programming of Switchable Shape-Genes.
PPSN 1992: 495-504 |
| 1990 |
|---|
| 4 | | Hugo de Garis:
Genetic Programming: Evolution of a Time Dependent Neural Network Module which Teaches a Pair of Stick Legs to Walk.
ECAI 1990: 204-206 |
| 3 | | Hugo de Garis:
Genetic Programming.
ML 1990: 132-139 |
| 2 | | Hugo de Garis:
Genetic Programming: Artificial Nervous Systems, Artificial Embryos and Embryological Electronics.
PPSN 1990: 117-123 |
| 1989 |
|---|
| 1 | | Hugo de Garis:
What If AI Succeeds? The Rise of the Twenty-First Century Artilect.
AI Magazine 10(2): 17-22 (1989) |
