Nonstationary Function Optimization Using Genetic Algorithms with Dominance and Diploidy. - David E. Goldberg; Robert E. Smith 001 (ICGA, 1987)

A Study of Rule Set Development in a Learning Classifier System. - Robert E. Smith 001; Manuel Valenzuela-Rendón (ICGA, 1989)

Variable Default Hierarchy Separation in a Classifier System. - Robert E. Smith 001; David E. Goldberg (FOGA, 1990)

System Identification with Evolving Polynomial Networks. - Hillol Kargupta; Robert E. Smith 001 (ICGA, 1991)

Population Diversity in an Immune System Model: Implications for Genetic Search. - Robert E. Smith 001; Stephanie Forrest; Alan S. Perelson (FOGA, 1992)

Reinforcement learning with classifier systems: Adaptive default hierarchy formation. - Robert E. Smith 001; David E. Goldberg (Appl. Artif. Intell., 1992)

Diploidy and Dominance in Artificial Genetic Search. - Robert E. Smith 001; David E. Goldberg (Complex Syst., 1992)

Adaptively Resizing Populations: An Algorithm and Analysis. - Robert E. Smith 001 (ICGA, 1993)

Using Genetic Algorithms to Explore Pattern Recognition in the Immune System. - Stephanie Forrest; Robert E. Smith 001; Brenda Javornik; Alan S. Perelson (Evol. Comput., 1993)

Searching for Diverse, Cooperative Populations with Genetic Algorithms. - Robert E. Smith 001; Stephanie Forrest; Alan S. Perelson (Evol. Comput., 1993)

Bulk Cable Routing Using Genetic Algorithms. - David A. Kloske; Robert E. Smith 001 (IEA/AIE, 1994)

Memory Exploitation in Learning Classifier Systems. - Robert E. Smith 001 (Evol. Comput., 1994)

Is a Learning Classifier System a Type of Neural Network? - Robert E. Smith 001; H. Brown Cribbs III (Evol. Comput., 1994)

Fitness inheritance in genetic algorithms. - Robert E. Smith 001; Bruce A. Dike; S. A. Stegmann (SAC, 1995)

Adaptively Resizing Populations: Algorithm, Analysis, and First Results. - Robert E. Smith 001; Ellen Smuda (Complex Syst., 1995)

Combined biological paradigms: A neural, genetics-based autonomous systems strategy. - Robert E. Smith 001; H. Brown Cribbs III (Robotics Auton. Syst., 1997)

Analytical Design of Reinforcement Learning Tasks. - Robert E. Smith 001 (FLAIRS, 1998)

An Examination of Tunable, Random Search Landscapes. - Robert E. Smith 001; Jim Smith (FOGA, 1998)

What Is a Learning Classifier System? - John H. Holland; Lashon B. Booker; Marco Colombetti; Marco Dorigo; David E. Goldberg; Stephanie Forrest; Rick L. Riolo; Robert E. Smith 001; Pier Luca Lanzi; Wolfgang Stolzmann; Stewart W. Wilson (Learning Classifier Systems, 1999)

The Fighter Aircraft LCS: A Case of Different LCS Goals and Techniques. - Robert E. Smith 001; Bruce A. Dike; B. Ravichandran; Adel El-Fallah; Raman K. Mehra (Learning Classifier Systems, 1999)

New Methods for Tunable, Random Landscapes. - Robert Elliott Smith; Jim Smith (FOGA, 2000)

Embodiment of Evolutionary Computation in General Agents. - Robert E. Smith 001; Claudio Bonacina; Paul E. Kearney; Walter Merlat (Evol. Comput., 2000)

Two-Sided, Genetics-Based Learning to Discover Novel Fighter Combat Maneuvers. - Robert E. Smith 001; Bruce A. Dike; B. Ravichandran; Adel El-Fallah; Raman K. Mehra (EvoWorkshops, 2001)

A Generalisable Measure of Self-Organisation and Emergence. - W. Andy Wright; Robert E. Smith 001; Martin Danek; Pillip Greenway (ICANN, 2001)

XCS Applied To Mapping FPGA Architectures. - Martin Danek; Robert E. Smith 001 (GECCO, 2002)

Effective Use of Directional Information in Multi-objective Evolutionary Computation. - Martin Brown; Robert E. Smith 001 (GECCO, 2003)

Mating Restriction and Niching Pressure: Results from Agents and Implications for General EC. - Robert E. Smith 001; Claudio Bonacina (GECCO, 2003)

Artificial Immune Systems and the Grand Challenge for Non-classical Computation. - Susan Stepney; John A. Clark; Colin G. Johnson; Derek Partridge; Robert E. Smith 001 (ICARIS, 2003)

Quality of information measures for autonomous decision-making. - Ravi K. Prasanth; João B. D. Cabrera; Jayesh Amin; Raman K. Mehra; Russell Purtell; Robert Elliott Smith (ACC, 2004)

Towards a Conceptual Framework for Artificial Immune Systems. - Susan Stepney; Robert E. Smith 001; Jonathan Timmis; Andrew M. Tyrrell (ICARIS, 2004)

An iterative mutual information histogram technique for linkage learning in evolutionary algorithms. - Robert E. Smith 001 (Congress on Evolutionary Computation, 2005)

XCS for robust automatic target recognition. - B. Ravichandran; Avinash Gandhe; Robert E. Smith 001 (GECCO, 2005)

Directed Multi-Objective Optimization. - Martin Brown; Robert E. Smith 001 (Int. J. Comput. Syst. Signals, 2005)

Conceptual Frameworks for Artificial Immune Systems. - Susan Stepney; Robert Elliott Smith; Jonathan Timmis; Andy M. Tyrrell; Mark James Neal; Andrew N. W. Hone (Int. J. Unconv. Comput., 2005)

Journeys in non-classical computation I: A grand challenge for computing research. - Susan Stepney; Samuel L. Braunstein; John A. Clark; Andrew M. Tyrrell; Andrew Adamatzky; Robert E. Smith 001; Tom Addis; Colin G. Johnson; Jonathan Timmis; Peter H. Welch; Robin Milner; Derek Partridge (Parallel Algorithms Appl., 2005)

Journeys in non-classical computation II: initial journeys and waypoints. - Susan Stepney; Samuel L. Braunstein; John A. Clark; Andrew M. Tyrrell; Andrew Adamatzky; Robert E. Smith 001; Thomas R. Addis; Colin G. Johnson; Jonathan Timmis; Peter H. Welch; Robin Milner; Derek Partridge (Int. J. Parallel Emergent Distributed Syst., 2006)

The limitations of distribution sampling for linkage learning. - David Jonathan Coffin; Robert Elliott Smith (IEEE Congress on Evolutionary Computation, 2007)

A learning classifier system with mutual-information-based fitness. - Robert Elliott Smith; Max Kun Jiang (IEEE Congress on Evolutionary Computation, 2007)

Why is parity hard for estimation of distribution algorithms? - David Jonathan Coffin; Robert Elliott Smith (GECCO, 2007)

Fused, multi-spectral automatic target recognition with XCS. - Avinash Gandhe; Ssu-Hsin Yu; Raman K. Mehra; Robert E. Smith 001 (GECCO, 2007)

MILCS: a mutual information learning classifier system. - Robert Elliott Smith; Max Kun Jiang (GECCO (Companion), 2007)

Robust automatic target recognition using learning classifier systems. - B. Ravichandran; Avinash Gandhe; Robert E. Smith 001; Raman K. Mehra (Inf. Fusion, 2007)

Linkage Learning in Estimation of Distribution Algorithms. - David Jonathan Coffin; Robert E. Smith 001 (Linkage in Evolutionary Computation, 2008)

XCS for Fusing Multi-Spectral Data in Automatic Target Recognition. - Avinash Gandhe; Ssu-Hsin Yu; Raman K. Mehra; Robert Elliott Smith (Learning Classifier Systems in Data Mining, 2008)

Mutual information neuro-evolutionary system (MINES). - Robert E. Smith 001; Behzad Behzadan (IEEE Congress on Evolutionary Computation, 2009)

MILCS in protein structure prediction with default hierarchies. - Robert E. Smith 001; Max Kun Jiang (GEC Summit, 2009)

Automated Alphabet Reduction for Protein Datasets. - Jaume Bacardit; Michael Stout; Jonathan D. Hirst; Alfonso Valencia; Robert Elliott Smith; Natalio Krasnogor (BMC Bioinform., 2009)

Prediction of topological contacts in proteins using learning classifier systems. - Michael Stout; Jaume Bacardit; Jonathan D. Hirst; Robert Elliott Smith; Natalio Krasnogor (Soft Comput., 2009)

A learning classifier system with mutual-information-based fitness. - Robert Elliott Smith; Max Kun Jiang; Jaume Bacardit; Michael Stout; Natalio Krasnogor; Jonathan D. Hirst (Evol. Intell., 2010)

Generation path-switching in sequential Monte-Carlo methods. - Ayub Hanif; Robert E. Smith 001 (IEEE Congress on Evolutionary Computation, 2012)

An information-based approach towards neuro-evolution. - Behzad Behzadan; Robert Elliott Smith (GECCO (Companion), 2012)

Hybrid metaheuristic particle filters for stochastic volatility estimation. - Robert Elliott Smith; Muhammad Shakir Hussain (GECCO, 2012)

Stochastic volatility modeling with computational intelligence particle filters. - Ayub Hanif; Robert Elliott Smith (GECCO, 2013)

Rejection based support vector machines for financial time series forecasting. - Yasin I. Rosowsky; Robert E. Smith 001 (IJCNN, 2013)

Parallel Multi-Objective Genetic Algorithm - GPU Accelerated Asynchronously Distributed NSGA II. - Oliver Rice; Robert E. Smith 001; Rickard Nyman (TPNC, 2013)

Tracking phantastic objects: A computer algorithmic investigation of narrative evolution in unstructured data sources. - David Tuckett; Robert Elliott Smith; Rickard Nyman (Soc. Networks, 2014)

State Space Modeling & Bayesian Inference with Computational Intelligence. - Ayub Hanif; Robert Elliott Smith (New Math. Nat. Comput., 2015)

Measuring the Influencers in the News Media's Narratives. - Samuel Oliver Stern; David Tuckett; Robert Elliott Smith; Rickard Nyman (ASONAM, 2018)

Deriving Contextualised Semantic Features from BERT (and Other Transformer Model) Embeddings. - Jacob Turton; Robert Elliott Smith; David P. Vinson (RepL4NLP@ACL-IJCNLP, 2021)

Differentiating Approach and Avoidance from Traditional Notions of Sentiment in Economic Contexts. - Jacob Turton; Ali Kabiri; David Tuckett; Robert Elliott Smith; David P. Vinson (CoRR, 2021)