Cooperating Air Traffic Control Agents. - Geoff Nitschke (Appl. Artif. Intell., 2001)

Emergence of Specialized Behavior in a Pursuit-Evasion Game. - Geoff Nitschke (CEEMAS, 2003)

Emergence of Cooperation in a Multiple Predator, Single Prey Game. - Geoff Nitschke (FLAIRS, 2003)

Emergence of Cooperation in a Pursuit-Evasion Game. - Geoff Nitschke (IJCAI, 2003)

Co-evolution of cooperation in a pursuit evasion game. - Geoff Nitschke (IROS, 2003)

Effects of evolutionary and lifetime learning on minds and bodies in an artifical society. - Tamas Buresch; A. E. Eiben; Geoff Nitschke; Martijn C. Schut (Congress on Evolutionary Computation, 2005)

Evolving an agent collective for cooperative mine sweeping. - A. E. Eiben; Geoff Nitschke; Martijn C. Schut (Congress on Evolutionary Computation, 2005)

Comparative Reproduction Schemes for Evolving Gathering Collectives. - A. E. Eiben; Geoff Nitschke; Martijn C. Schut (ECAL, 2005)

Emergent Cooperation in RoboCup: A Review. - Geoff Nitschke (RoboCup, 2005)

Emergence of Cooperation: State of the Art. - Geoff Nitschke (Artif. Life, 2005)

Designing emergent cooperation: a pursuit-evasion game case study. - Geoff Nitschke (Artif. Life Robotics, 2005)

Collective Specialization for Evolutionary Design of a Multi-robot System. - A. E. Eiben; Geoff Nitschke; Martijn C. Schut (Swarm Robotics, 2006)

Emergent specialization in the extended multi-rover problem. - Geoff S. Nitschke; Martijn C. Schut; A. E. Eiben (IEEE Congress on Evolutionary Computation, 2007)

Neuro-evolution Methods for Designing Emergent Specialization. - Geoff Nitschke (ECAL, 2007)

Collective specialization in multi-rover systems. - Geoff Nitschke; Martijn C. Schut; A. E. Eiben (GECCO, 2007)

Evolutionary Design of Specialization. - Ágoston E. Eiben; Geoff S. Nitschke; Martijn C. Schut (ALIFE, 2007)

Neuro-evolution for a gathering and collective construction task. - D. W. F. van Krevelen; Geoff S. Nitschke (GECCO, 2008)

Designing multi-rover emergent specialization. - Geoff Nitschke; Martijn C. Schut (GECCO, 2008)

Neuro-Evolution approaches to collective behavior. - Geoff S. Nitschke (IEEE Congress on Evolutionary Computation, 2009)

Niche Particle Swarm Optimization for Neural Network Ensembles. - Camiel Castillo; Geoff Nitschke; Andries P. Engelbrecht (ECAL (2), 2009)

Neuro-Evolution Methods for Gathering and Collective Construction. - Geoff Nitschke (ECAL (1), 2009)

Neuro-evolution versus Particle Swarm Optimization for competitive co-evolution of pursuit-evasion behaviors. - Leo H. Langenhoven; Geoff S. Nitschke (IEEE Congress on Evolutionary Computation, 2010)

Neuro-Evolution for competitive co-evolution of biologically canonical predator and prey behaviors. - Geoff S. Nitschke; Leo H. Langenhoven (NaBIC, 2010)

Collective neuro-evolution for evolving specialized sensor resolutions in a multi-rover task. - Geoff S. Nitschke; Martijn C. Schut; A. E. Eiben (Evol. Intell., 2010)

Evolutionary algorithms and Particle Swarm Optimization for artificial language evolution. - Kobus de Bruyn; Geoff Nitschke; Willem S. van Heerden (IEEE Congress on Evolutionary Computation, 2011)

Evolution of a fictional dialogue. - Carina M. Viljoen; Geoff S. Nitschke; Willem S. van Heerden (IEEE Congress on Evolutionary Computation, 2011)

Behavioral heterogeneity, cooperation, and collective construction. - Geoff Nitschke (IEEE Congress on Evolutionary Computation, 2012)

Evolving team behaviors with specialization. - Geoff S. Nitschke; A. E. Eiben; Martijn C. Schut (Genet. Program. Evolvable Mach., 2012)

Evolving behavioral specialization in robot teams to solve a collective construction task. - Geoff S. Nitschke; Martijn C. Schut; A. E. Eiben (Swarm Evol. Comput., 2012)

Automated network application classification: A competitive learning approach. - Ryan G. Goss; Geoff S. Nitschke (CIComms, 2013)

The Transmission of Migratory Behaviors. - Geoff Nitschke; Olaf Witkowski (ECAL, 2013)

Network protocol identification ensemble with EA optimization. - Ryan G. Goss; Geoff S. Nitschke (GECCO (Companion), 2013)

Approaches to dynamic team sizes. - Geoff S. Nitschke; S. M. Tolkamp (RiiSS, 2013)

Comparing crossover operators in Neuro-Evolution with crowd simulations. - Sunrise Wang; James Edward Gain; Geoff Stuart Nitschke (IEEE Congress on Evolutionary Computation, 2014)

Lifetimes of migration. - Faith Agwang; Willem S. van Heerden; Geoff Nitschke (GECCO (Companion), 2014)

Generational neuro-evolution: restart and retry for improvement. - David Peter Shorten; Geoff S. Nitschke (GECCO, 2014)

Flood evolution: changing the evolutionary substrate from a path of stepping stones to a field of rocks. - David Peter Shorten; Geoff Nitschke (GECCO (Companion), 2014)

How evolvable is novelty search? - David Peter Shorten; Geoff S. Nitschke (ICES, 2014)

Searching for novelty in pole balancing. - Chien-Lun Huang; Geoff Nitschke; David Peter Shorten (CEC, 2015)

Deriving minimal sensory configurations for evolved cooperative robot teams. - James Watson; Geoff Nitschke (CEC, 2015)

Evolving Generalised Maze Solvers. - David Peter Shorten; Geoff S. Nitschke (EvoApplications, 2015)

Controlling Crowd Simulations using Neuro-Evolution. - Sunrise Wang; James Edward Gain; Geoff Stuart Nitschke (GECCO, 2015)

The Benefits of Adaptive Behavior and Morphology for Cooperation. - Jamie Hewland; Geoff Nitschke (SSCI, 2015)

Evolving Robust Robot Team Morphologies for Collective Construction. - James Watson; Geoff S. Nitschke (SSCI, 2015)

The Evolution of Evolvability in Evolutionary Robotics. - Geoff Nitschke; David Peter Shorten (ALIFE, 2016)

The Relationship Between Evolvability and Robustness in the Evolution of Boolean Networks. - Geoff Nitschke; David Peter Shorten (ALIFE, 2016)

Neuro-Evolution for Multi-Agent Policy Transfer in RoboCup Keep-Away: (Extended Abstract). - Sabre Didi; Geoff S. Nitschke (AAMAS, 2016)

Multi-agent Behavior-Based Policy Transfer. - Sabre Didi; Geoff Nitschke (EvoApplications (2), 2016)

Hybridizing novelty search for transfer learning. - Sabre Didi; Geoff Nitschke (SSCI, 2016)

Neutral network assortativity shapes whether selective pressure promotes or hinders robustness. - David Peter Shorten; Geoff S. Nitschke (SSCI, 2016)

Evolving Collective Driving Behaviors. - Chien-Lun Huang; Geoff Nitschke (AAMAS, 2017)

How to best Automate Intersection Management. - Aashiq Parker; Geoff Nitschke (CEC, 2017)

Modeling patterns of wealth disparity in predynastic Upper Egypt. - Geoff Nitschke; Jessica Nitschke; Alexander Furman; Matthew Cherry (ECAL, 2017)

The Two Regimes of Neutral Evolution: Localization on Hubs and Delocalized Diffusion. - David Peter Shorten; Geoff S. Nitschke (EvoApplications (1), 2017)

Automated pattern identification and classification: anomaly detection case study. - Ryan G. Goss; Geoff S. Nitschke (GECCO (Companion), 2017)

Autonomous intersection driving with neuro-evolution. - Aashiq Parker; Geoff S. Nitschke (GECCO (Companion), 2017)

Evolving morphological robustness for collective robotics. - Ruben Putter; Geoff Nitschke (SSCI, 2017)

Improving Deep Learning using Generic Data Augmentation. - Luke Taylor; Geoff Nitschke (CoRR, 2017)

Evolutionary Policy Transfer and Search Methods for Boosting Behavior Quality: RoboCup Keep-Away Case Study. - Geoff Nitschke; Sabre Didi (Frontiers Robotics AI, 2017)

Is Novelty Search Good for Evolving Morphologically Robust Robot Controllers? - Ruben Putter; Geoff Nitschke (AAMAS, 2018)

Policy transfer methods in RoboCup keep-away. - Sabre Didi; Geoff Nitschke (GECCO (Companion), 2018)

The dynamics of cooperation versus competition. - Olaf Witkowski; Geoff Nitschke (GECCO (Companion), 2018)

Exploring Exploration Catastrophes in Various Network Models. - David Peter Shorten; Geoff Nitschke (ALIFE, 2018)

Objective versus Non-Objective Search in Evolving Morphologically Robust Robot Controllers. - Ruben Putter; Geoff Nitschke (SSCI, 2018)

Improving Deep Learning with Generic Data Augmentation. - Luke Taylor; Geoff Nitschke (SSCI, 2018)

The Cost of Complexity in Robot Bodies. - Danielle Nagar; Alexander Furman; Geoff Nitschke (CEC, 2019)

Evolving optimal sun-shading building façades. - Leon Coetzee; Geoff Nitschke (GECCO (Companion), 2019)

Evolving music with emotional feedback. - Paul Cohen; Geoff Nitschke (GECCO (Companion), 2019)

The cost of morphological complexity. - Alexander Furman; Danielle Nagar; Geoff Nitschke (GECCO (Companion), 2019)

The Cost of Big Brains in Groups. - Danielle Nagar; Alexander Furman; Geoff Nitschke (ALIFE, 2019)

Automating Collective Robotic System Design. - Alexander Furman; Danielle Nagar; Geoff Nitschke (SSCI, 2019)

Evolutionary Deep Learning to Identify Galaxies in the Zone of Avoidance. - David Jones; Anja Schroeder; Geoff Nitschke (CoRR, 2019)

Automating Coordinated Autonomous Vehicle Control. - Allen Huang; Geoff Nitschke (AAMAS, 2020)

Energy and Complexity in Evolving Collective Robot Bodies and Brains. - Scott Hallauer; Geoff Nitschke (CEC, 2020)

Evolutionary Automation of Coordinated Autonomous Vehicles. - Chien-Lun Huang; Geoff Nitschke (CEC, 2020)

Evolving an artificial creole. - Gregory Furman; Geoff Nitschke (GECCO Companion, 2020)

The expense of neuro-morpho functional machines. - Scott Hallauer; Geoff Nitschke (GECCO Companion, 2020)

Efficiently Coevolving Deep Neural Networks and Data Augmentations. - Shane Acton; Sasha Abramowitz; Liron Toledo; Geoff Nitschke (SSCI, 2020)

Predicting Disease Outbreaks with Climate Data. - Tassallah Abdullahi; Geoff Nitschke (CEC, 2021)

Disease outbreaks: tuning predictive machine learning. - Tassallah Abdullahi; Geoff Nitschke (GECCO Companion, 2021)

Environmental impact on evolving language diversity. - Gregory Furman; Geoff Nitschke (GECCO Companion, 2021)

Evolving gaits for damage control in a hexapod robot. - Christopher Mailer; Geoff Nitschke; Leanne Raw (GECCO, 2021)

The Environment and Body-Brain Complexity. - Christina Spanellis; Brooke Stewart; Geoff Nitschke (GECCO, 2021)

The Role of Speaker Prestige in Synthetic Language Evolution. - Gregory Furman; Geoff Nitschke (ALIFE, 2021)

Towards Run-time Efficient Hierarchical Reinforcement Learning. - Sasha Abramowitz; Geoff Nitschke (CEC, 2022)

Scalable evolutionary hierarchical reinforcement learning. - Sasha Abramowitz; Geoff Nitschke (GECCO Companion, 2022)

Do harsher environments cause selfish or altruistic behavior? - Brandon Gower-Winter; Geoff Nitschke (GECCO Companion, 2022)

Extreme Environments Perpetuate Cooperation. - Brandon Gower-Winter; Geoff Nitschke (SSCI, 2022)

AutoFac: The Perpetual Robot Machine. - Geoff Nitschke; David Howard 001 (IEEE Trans. Artif. Intell., 2022)

A Quality-Diversity Approach to Evolving a Repertoire of Diverse Behaviour-Trees in Robot Swarms. - Kirsty Montague; Emma Hart; Geoff Nitschke; Ben Paechter (EvoApplications@EvoStar, 2023)

Inequality and the Emergence of Social Stratification. - Geoff Nitschke; Brandon Gower-Winter (GECCO Companion, 2023)

Evolving Herding Behaviour Diversity in Robot Swarms. - Geoff Nitschke; Scott Hallauer; Emma Hart (GECCO Companion, 2023)

The Impact of Morphological Diversity in Robot Swarms. - Geoff Nitschke; Sindiso Mkhatshwa (GECCO, 2023)

Multi-Objective Evolution for Automated Chemistry. - Bilal Aslan; Flávio S. Corrêa da Silva; Geoff Nitschke (SSCI, 2023)

Using Graph Theory to Produce Emergent Behaviour in Agent-Based Systems. - Brandon Gower-Winter; Geoff Nitschke (SSCI, 2023)

Evolving Behavior Allocations in Robot Swarms. - Scott Hallauer; Geoff Nitschke; Emma Hart (SSCI, 2023)

Automating Robot Design with Multi-Level Evolution. - Geoff Nitschke; David Howard 001; Bilal Aslan (CEC, 2024)

Morpho-Material Evolution for Automated Robot Design. - Geoff Nitschke; Bilal Aslan (GECCO Companion, 2024)

Multi-Objective Evolution for Chemical Product Design. - Geoff Nitschke; Bilal Aslan; Flávio S. Corrêa da Silva (GECCO Companion, 2024)

Behavior Allocations in Robotic Collective Herding Behavior Evolution. - Ameel Valjee; Bilal Aslan; Geoff Nitschke (CEC, 2025)

GASNet: Geometric Robust Adaptive Spatial-Enhanced Network for Building Extraction. - Bei Wu; Xiangxu Meng; Heng Wang; Rahul Yadav; Geoff Nitschke; Wei Li 109 (ICIC (3), 2025)

Body and Brain Quality-Diversity in Robot Swarms. - Sindiso Mkhatshwa; Geoff Nitschke (ACM Trans. Evol. Learn. Optim., 2025)