| 2015 | GECCO | Genetically-regulated Neuromodulation Facilitates Multi-Task Reinforcement Learning. | Sylvain Cussat-Blanc, Kyle Ira Harrington |
| 2014 | ALIFE | The Resistance of Swarm Ecosystem Under Environmental Variation. | Jessica Lowell, Kyle Ira Harrington, Jordan B. Pollack |
| 2013 | IJCNN | Robot coverage control by evolved neuromodulation. | Kyle Ira Harrington, Emmanuel Awa, Sylvain Cussat-Blanc, Jordan B. Pollack |
| 2012 | ALIFE | The Effects of Finite Populations and Selection on the Emergence of Signaling. | Kyle Ira Harrington, A. Pinar Ozisik, Jordan B. Pollack |
| 2012 | GECCO | Autoconstructive evolution for structural problems. | Kyle Ira Harrington, Lee Spector, Jordan B. Pollack, Una-May O'Reilly |
| 2012 | GECCO | The effects of tags on the evolution of honest signaling. | A. Pinar Ozisik, Kyle Ira Harrington |
| 2012 | GECCO | Tag-based modularity in tree-based genetic programming. | Lee Spector, Kyle Ira Harrington, Thomas Helmuth |
| 2011 | GECCO | Fecundity and selectivity in evolutionary computation. | Lee Spector, Thomas Helmuth, Kyle Ira Harrington |
| 2011 | GECCO | Tag-based modules in genetic programming. | Lee Spector, Brian Martin, Kyle Ira Harrington, Thomas Helmuth |
| 2011 | IJCNN | Communicated somatic markers benefit both the individual and the species. | Kyle Ira Harrington, Megan M. Olsen, Hava T. Siegelmann |
| 2010 | ALIFE | En Route to Signal Inversion in Chemical Computing. | Michael Heymann, Kyle Ira Harrington, Jordan B. Pollack, Seth Fraden |
| 2010 | GECCO | Robot phylogenetics. | Kyle Ira Harrington, Jordan B. Pollack |
| 2007 | GECCO | Predicting reactions from amino acid sequences in S. cerevisiae: an evolutionary computation approach. | Kyle Ira Harrington |
| 2005 | AIED | Teaching the evolution of behavior with SuperDuperWalker. | Lee Spector, Jon Klein, Kyle Ira Harrington, Raymond Coppinger |