Robert E. Smith
List of publications from the DBLP Bibliography Server - FAQ
2009 | ||
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44 | EE | Michael Stout, Jaume Bacardit, Jonathan D. Hirst, Robert Elliott Smith, Natalio Krasnogor: Prediction of topological contacts in proteins using learning classifier systems. Soft Comput. 13(3): 245-258 (2009) |
2008 | ||
43 | EE | Avinash Gandhe, Ssu-Hsin Yu, Raman K. Mehra, Robert Elliott Smith: XCS for Fusing Multi-Spectral Data in Automatic Target Recognition. Learning Classifier Systems in Data Mining 2008: 147-167 |
42 | EE | David Jonathan Coffin, Robert E. Smith: Linkage Learning in Estimation of Distribution Algorithms. Linkage in Evolutionary Computation 2008: 141-156 |
2007 | ||
41 | EE | Avinash Gandhe, Ssu-Hsin Yu, Raman K. Mehra, Robert E. Smith: Fused, multi-spectral automatic target recognition with XCS. GECCO 2007: 1874 |
40 | EE | Robert Elliott Smith, Max Kun Jiang: MILCS: a mutual information learning classifier system. GECCO 2007: 1877 |
39 | EE | David Jonathan Coffin, Robert Elliott Smith: Why is parity hard for estimation of distribution algorithms? GECCO 2007: 624 |
38 | EE | Robert Elliott Smith, Max Kun Jiang: MILCS: a mutual information learning classifier system. GECCO (Companion) 2007: 2945-2952 |
37 | EE | Robert Elliott Smith, Max Kun Jiang: A learning classifier system with mutual-information-based fitness. IEEE Congress on Evolutionary Computation 2007: 2173-2180 |
36 | EE | David Jonathan Coffin, Robert Elliott Smith: The limitations of distribution sampling for linkage learning. IEEE Congress on Evolutionary Computation 2007: 364-369 |
35 | EE | Robert Elliott Smith, Max Kun Jiang: A Learning Classifier System with Mutual-Information-Based Fitness. IWLCS 2007: 136-153 |
34 | EE | B. Ravichandran, Avinash Gandhe, Robert E. Smith, Raman K. Mehra: Robust automatic target recognition using learning classifier systems. Information Fusion 8(3): 252-265 (2007) |
2006 | ||
33 | EE | Susan Stepney, Samuel L. Braunstein, John A. Clark, Andrew M. Tyrrell, Andrew Adamatzky, Robert E. Smith, Thomas R. Addis, Colin G. Johnson, Jonathan Timmis, Peter H. Welch, Robin Milner, Derek Partridge: Journeys in non-classical computation II: initial journeys and waypoints. IJPEDS 21(2): 97-125 (2006) |
2005 | ||
32 | EE | Robert E. Smith: An iterative mutual information histogram technique for linkage learning in evolutionary algorithms. Congress on Evolutionary Computation 2005: 2166-2173 |
31 | EE | B. Ravichandran, Avinash Gandhe, Robert E. Smith: XCS for robust automatic target recognition. GECCO 2005: 1803-1810 |
30 | EE | Martin Brown, Robert E. Smith: Directed Multi-Objective Optimization. Int. J. Comput. Syst. Signal 6(1): 3-17 (2005) |
29 | EE | Susan Stepney, Samuel L. Braunstein, John A. Clark, Andrew M. Tyrrell, Andrew Adamatzky, Robert E. Smith, Tom Addis, Colin G. Johnson, Jonathan Timmis, Peter H. Welch, Robin Milner, Derek Partridge: Journeys in non-classical computation I: A grand challenge for computing research. Parallel Algorithms Appl. 20(1): 5-19 (2005) |
2004 | ||
28 | EE | Susan Stepney, Robert E. Smith, Jonathan Timmis, Andrew M. Tyrrell: Towards a Conceptual Framework for Artificial Immune Systems. ICARIS 2004: 53-64 |
2003 | ||
27 | EE | Robert E. Smith, Claudio Bonacina: Mating Restriction and Niching Pressure: Results from Agents and Implications for General EC. GECCO 2003: 1382-1393 |
26 | EE | Martin Brown, Robert E. Smith: Effective Use of Directional Information in Multi-objective Evolutionary Computation. GECCO 2003: 778-789 |
25 | EE | Susan Stepney, John A. Clark, Colin G. Johnson, Derek Partridge, Robert E. Smith: Artificial Immune Systems and the Grand Challenge for Non-classical Computation. ICARIS 2003: 204-216 |
2002 | ||
24 | Martin Danek, Robert E. Smith: XCS Applied To Mapping FPGA Architectures. GECCO 2002: 912-919 | |
2001 | ||
23 | Egbert J. W. Boers, Jens Gottlieb, Pier Luca Lanzi, Robert E. Smith, Stefano Cagnoni, Emma Hart, Günther R. Raidl, H. Tijink: Applications of Evolutionary Computing, EvoWorkshops 2001: EvoCOP, EvoFlight, EvoIASP, EvoLearn, and EvoSTIM, Como, Italy, April 18-20, 2001, Proceedings Springer 2001 | |
22 | EE | Robert E. Smith, Bruce A. Dike, B. Ravichandran, Adel El-Fallah, Raman K. Mehra: Two-Sided, Genetics-Based Learning to Discover Novel Fighter Combat Maneuvers. EvoWorkshops 2001: 233-242 |
21 | EE | W. Andy Wright, Robert E. Smith, Martin Danek, Pillip Greenway: A Generalisable Measure of Self-Organisation and Emergence. ICANN 2001: 857-864 |
2000 | ||
20 | Robert E. Smith, Claudio Bonacina, Paul E. Kearney, Walter Merlat: Embodiment of Evolutionary Computation in General Agents. Evolutionary Computation 8(4): 475-493 (2000) | |
1999 | ||
19 | Wolfgang Banzhaf, Jason M. Daida, A. E. Eiben, Max H. Garzon, Vasant Honavar, Mark J. Jakiela, Robert E. Smith: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 13-17 July 1999, Orlando, Florida, USA Morgan Kaufmann 1999 | |
18 | EE | Robert E. Smith, Bruce A. Dike, B. Ravichandran, Adel El-Fallah, Raman K. Mehra: The Fighter Aircraft LCS: A Case of Different LCS Goals and Techniques. Learning Classifier Systems 1999: 283-300 |
17 | EE | John H. Holland, Lashon B. Booker, Marco Colombetti, Marco Dorigo, David E. Goldberg, Stephanie Forrest, Rick L. Riolo, Robert E. Smith, Pier Luca Lanzi, Wolfgang Stolzmann, Stewart W. Wilson: What Is a Learning Classifier System? Learning Classifier Systems 1999: 3-32 |
1998 | ||
16 | Robert E. Smith: Analytical Design of Reinforcement Learning Tasks. FLAIRS Conference 1998: 362-366 | |
15 | Robert E. Smith, Jim Smith: An Examination of Tunable, Random Search Landscapes. FOGA 1998: 165-181 | |
1997 | ||
14 | EE | Robert E. Smith, H. Brown Cribbs III: Combined biological paradigms: A neural, genetics-based autonomous systems strategy. Robotics and Autonomous Systems 22(1): 65-74 (1997) |
1995 | ||
13 | EE | Robert E. Smith, Bruce A. Dike, S. A. Stegmann: Fitness inheritance in genetic algorithms. SAC 1995: 345-350 |
1994 | ||
12 | EE | David A. Kloske, Robert E. Smith: Bulk Cable Routing Using Genetic Algorithms. IEA/AIE 1994: 427-431 |
11 | Robert E. Smith, H. Brown Cribbs III: Is a Learning Classifier System a Type of Neural Network? Evolutionary Computation 2(1): 19-36 (1994) | |
10 | Robert E. Smith: Memory Exploitation in Learning Classifier Systems. Evolutionary Computation 2(3): 199-220 (1994) | |
1993 | ||
9 | Robert E. Smith: Adaptively Resizing Populations: An Algorithm and Analysis. ICGA 1993: 653 | |
8 | Robert E. Smith, Stephanie Forrest, Alan S. Perelson: Searching for Diverse, Cooperative Populations with Genetic Algorithms. Evolutionary Computation 1(2): 127-149 (1993) | |
7 | Stephanie Forrest, Robert E. Smith, Brenda Javornik, Alan S. Perelson: Using Genetic Algorithms to Explore Pattern Recognition in the Immune System. Evolutionary Computation 1(3): 191-211 (1993) | |
1992 | ||
6 | Robert E. Smith, Stephanie Forrest, Alan S. Perelson: Population Diversity in an Immune System Model: Implications for Genetic Search. FOGA 1992: 153-165 | |
5 | Robert E. Smith, David E. Goldberg: Reinforcement learning with classifier systems: Adaptive default hierarchy formation. Applied Artificial Intelligence 6(1): 79-102 (1992) | |
1991 | ||
4 | Hillol Kargupta, Robert E. Smith: System Identification with Evolving Polynomial Networks. ICGA 1991: 370-376 | |
1990 | ||
3 | Robert E. Smith, David E. Goldberg: Variable Default Hierarchy Separation in a Classifier System. FOGA 1990: 148-167 | |
1989 | ||
2 | Robert E. Smith, Manuel Valenzuela-Rendón: A Study of Rule Set Development in a Learning Classifier System. ICGA 1989: 340-346 | |
1987 | ||
1 | David E. Goldberg, Robert E. Smith: Nonstationary Function Optimization Using Genetic Algorithms with Dominance and Diploidy. ICGA 1987: 59-68 |