2008 |
40 | | Elhadj Benkhelifa,
Anthony G. Pipe,
Gabriel Dragffy,
Mokhtar Nibouche:
Evolutionary Electronics: A Novel Approach and the Effects of Geometry-related Parameters on Performance.
GEM 2008: 35-41 |
2007 |
39 | | Elhadj Benkhelifa,
Anthony G. Pipe,
Mokhtar Nibouche,
Gabriel Dragffy:
Evolvable Embryonics: Promising Early Results to An Automatic Design of Self-Repair Hardware System.
GEM 2007: 137-143 |
38 | EE | Elhadj Benkhelifa,
Anthony G. Pipe,
Mokhtar Nibouche,
Gabriel Dragffy:
Steps Forward to Evolve Bio-inspired Embryonic Cell-Based Electronic Systems.
ICES 2007: 174-185 |
37 | EE | Elhadj Benkhelifa,
Anthony G. Pipe,
Gabriel Dragffy,
Mokhtar Nibouche:
Towards evolving fault tolerant biologically inspired hardware using evolutionary algorithms.
IEEE Congress on Evolutionary Computation 2007: 1548-1554 |
36 | EE | Elhadj Benkhelifa,
Anthony G. Pipe,
Mokhtar Nibouche,
Gabriel Dragffy:
Evolvable Hardware: A Problem of Generalization Which Works Best: Large Population Size and Small Number of Generations or visa versa?.
NICSO 2007: 475-485 |
35 | EE | Martin J. Pearson,
Anthony G. Pipe,
Benjamin Mitchinson,
Kevin N. Gurney,
Chris Melhuish,
Ian Gilhespy,
Mokhtar Nibouche:
Implementing Spiking Neural Networks for Real-Time Signal-Processing and Control Applications: A Model-Validated FPGA Approach.
IEEE Transactions on Neural Networks 18(5): 1472-1487 (2007) |
34 | EE | Brian Carse,
Anthony G. Pipe:
Introduction: Genetic fuzzy systems.
Int. J. Intell. Syst. 22(9): 905-907 (2007) |
33 | EE | Anthony G. Pipe,
Brian Carse:
Fuzzy classifier system architectures for mobile robotics: An experimental comparison.
Int. J. Intell. Syst. 22(9): 993-1019 (2007) |
2006 |
32 | EE | Martin J. Pearson,
Mokhtar Nibouche,
Anthony G. Pipe,
Chris Melhuish,
Ian Gilhespy,
Benjamin Mitchinson,
Kevin N. Gurney,
Tony J. Prescott,
Peter Redgrave:
A Biologically Inspired FPGA Based Implementation of a Tactile Sensory System for Object Recognition and Texture Discrimination.
FPL 2006: 1-4 |
31 | EE | Xuegong Zhang,
Gabriel Dragffy,
Anthony G. Pipe:
Embryonics: A Path to Artificial Life?
Artificial Life 12(3): 313-332 (2006) |
2005 |
30 | EE | Anthony G. Pipe,
Brian Carse:
First Results from Further Experimental Comparisons between Pittsburgh and Michigan Fuzzy Classifier Systems for Mobile Robotics.
EUSFLAT Conf. 2005: 1015-1020 |
29 | EE | Thomas J. Mitchell,
Anthony G. Pipe:
Convergence Synthesis of Dynamic Frequency Modulation Tones Using an Evolution Strategy.
EvoWorkshops 2005: 533-538 |
28 | | Martin J. Pearson,
Chris Melhuish,
Anthony G. Pipe,
Mokhtar Nibouche,
Ian Gilhespy,
Kevin N. Gurney,
Benjamin Mitchinson:
Design and FPGA Implementation of an Embedded Real-Time Biologically Plausible Spiking Neural Network Processor.
FPL 2005: 582-585 |
27 | EE | Martin J. Pearson,
Ian Gilhespy,
Kevin N. Gurney,
Chris Melhuish,
Benjamin Mitchinson,
Mokhtar Nibouche,
Anthony G. Pipe:
A Real-Time, FPGA Based, Biologically Plausible Neural Network Processor.
ICANN (2) 2005: 1021-1026 |
26 | EE | Ingrid Russell,
Zdravko Markov,
Brian Carse,
Anthony G. Pipe,
Lawrence B. Holder:
Editorial.
IJPRAI 19(2): 129-132 (2005) |
25 | EE | Lawrence B. Holder,
Ingrid Russell,
Zdravko Markov,
Anthony G. Pipe,
Brian Carse:
Current And Future Trends In Feature Selection And Extraction For Classification Problems.
IJPRAI 19(2): 133-142 (2005) |
2004 |
24 | | X. Zhang,
Gabriel Dragffy,
Anthony G. Pipe,
Quan M. Zhu:
Partial-DNA Supported Artificial-Life in an Embryonic Array.
ERSA 2004: 203-208 |
23 | | X. Zhang,
Gabriel Dragffy,
Anthony G. Pipe:
Repair of the Genetic Material in Biologically Inspired Embryonic-Cell-Based Systems.
ESA/VLSI 2004: 316-324 |
22 | EE | X. Zhang,
Gabriel Dragffy,
Anthony G. Pipe,
Quan M. Zhu:
Artificial Innate Immune System: An Instant Defence Layer of Embryonics.
ICARIS 2004: 302-315 |
21 | EE | Julian C. Holley,
Anthony G. Pipe,
Brian Carse:
Oneiric Processing Utilising the Anticipatory Classifier System.
PPSN 2004: 1103-1112 |
2003 |
20 | EE | Anthony G. Pipe,
Brian Carse:
Fuzzy logic and the Pittsburgh classifier system for mobile robot control.
EUSFLAT Conf. 2003: 120-125 |
19 | EE | Brian Carse,
Anthony G. Pipe,
Ingo Renners,
Adolf Grauel,
Antonio F. Gómez-Skarmeta,
Fernando Jiménez,
Gracia Sánchez,
Oscar Cordón,
Francisco Herrera,
Fernando A. C. Gomide,
Igor Walter,
Antonio González,
Raúl Pérez:
Current issues and future directions in evolutionary fuzzy systems research.
EUSFLAT Conf. 2003: 81-87 |
18 | | X. Zhang,
Gabriel Dragffy,
Anthony G. Pipe,
Quan M. Zhu:
Ontogenetic Cellular Hardware for Fault Tolerant Systems.
Embedded Systems and Applications 2003: 144-150 |
17 | | X. Zhang,
Gabriel Dragffy,
Anthony G. Pipe,
Nigel Gunton,
Quan M. Zhu:
A Reconfigurable Self-Healing Embryonic Cell Architecture.
Engineering of Reconfigurable Systems and Algorithms 2003: 134-140 |
16 | | X. Zhang,
Gabriel Dragffy,
Anthony G. Pipe:
Bio-Inspired Reconfigurable Architecture for Reliable Systems.
VLSI 2003: 34-40 |
2002 |
15 | EE | Anthony G. Pipe,
Brian Carse:
First Results from Experiments in Fuzzy Classifier System Architectures for Mobile Robotics.
PPSN 2002: 578-587 |
2001 |
14 | EE | Brian Carse,
Anthony G. Pipe:
X-FCS: a fuzzy classifier system using accuracy based fitness - first results.
EUSFLAT Conf. 2001: 195-198 |
13 | | Brian Carse,
Anthony G. Pipe:
A Framework for Evolving Fuzzy Classifier Systems Using Genetic Programming.
FLAIRS Conference 2001: 465-469 |
12 | | S. A. Dolenko,
Yu. V. Orlov,
I. G. Persiantsev,
Ju. S. Shugai,
Anthony G. Pipe:
Time Series Analysis Using Unsupervised Construction of Hierarchical Classifiers.
FLAIRS Conference 2001: 475-479 |
11 | | Anthony G. Pipe,
Brian Carse:
"Michigan" and "Pittsburgh" Fuzzy Classifier Systems for Learning Mobile Robot Control Rules: An Experimental Comparison.
FLAIRS Conference 2001: 493-497 |
2000 |
10 | | Anthony G. Pipe,
Brian Carse:
Autonomous Acquisition of Fuzzy Rules for Mobile Robot Control: First Results from two Evolutionary Computation Approaches.
GECCO 2000: 849-856 |
9 | EE | Mark Randall,
Anthony G. Pipe:
A novel soft computing architecture for the control of autonomous walking robots.
Soft Comput. 4(3): 165-185 (2000) |
1999 |
8 | | Anthony G. Pipe,
Mark Randall,
Y. Jin:
Experiments in On-Line Learning Neuro-Control.
FLAIRS Conference 1999: 309-314 |
1996 |
7 | | J. C. W. Sullivan,
Anthony G. Pipe:
Efficient Evolution Strategies for Exploration in Mobile Robotics.
Evolutionary Computing, AISB Workshop 1996: 147-161 |
6 | | J. C. W. Sullivan,
Anthony G. Pipe:
An Evolution Strategy for On-line Optimisation of Dynamic Objective Functions.
PPSN 1996: 781-790 |
1995 |
5 | | Larry Bull,
Terence C. Fogarty,
Anthony G. Pipe:
Artificial Endosymbiosis.
ECAL 1995: 273-289 |
4 | | Anthony G. Pipe,
Brian Carse,
Terence C. Fogarty,
Alan F. T. Winfield:
Learning Subjective "Cognitive Maps" in the Presence of Sensory-Motor Errors.
ECAL 1995: 463-476 |
1994 |
3 | | Anthony G. Pipe,
Brian Carse:
A Comparison Between Two Architectures for Searching and Learning in Maze Problems.
Evolutionary Computing, AISB Workshop 1994: 238-249 |
2 | | Anthony G. Pipe,
Terence C. Fogarty,
Alan F. T. Winfield:
Balancing Exploration with Exploitation - Solving Mazes With Real Numbered Search Spaces.
International Conference on Evolutionary Computation 1994: 485-489 |
1 | | Anthony G. Pipe,
Terence C. Fogarty,
Alan F. T. Winfield:
Hybrid Adaptive Heuristic Critic Architectures for Learning in Mazes with Continuous Search Spaces.
PPSN 1994: 482-491 |