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ORCIDGeoff S. Nitschke
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- affiliation: University of Cape Town, South Africa
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2020 – today
- 2024
[c90]Geoff Nitschke, David Howard, Bilal Aslan:
Automating Robot Design with Multi-Level Evolution. CEC 2024: 1-8- [c89]Geoff Nitschke
, Bilal Aslan, Flávio S. Corrêa da Silva:
Multi-Objective Evolution for Chemical Product Design. GECCO Companion 2024: 359-362 - [c88]Geoff Nitschke, Bilal Aslan:
Morpho-Material Evolution for Automated Robot Design. GECCO Companion 2024: 475-478 - 2023
- [c87]Kirsty Montague, Emma Hart, Geoff Nitschke, Ben Paechter:
A Quality-Diversity Approach to Evolving a Repertoire of Diverse Behaviour-Trees in Robot Swarms. EvoApplications@EvoStar 2023: 145-160 - [c86]Geoff Nitschke, Sindiso Mkhatshwa:
The Impact of Morphological Diversity in Robot Swarms. GECCO 2023: 65-74 - [c85]Geoff Nitschke, Scott Hallauer, Emma Hart:
Evolving Herding Behaviour Diversity in Robot Swarms. GECCO Companion 2023: 95-98 - [c84]Geoff Nitschke, Brandon Gower-Winter:
Inequality and the Emergence of Social Stratification. GECCO Companion 2023: 159-162 - [c83]Bilal Aslan, Flávio S. Corrêa da Silva, Geoff Nitschke:
Multi-Objective Evolution for Automated Chemistry. SSCI 2023: 152-157 - [c82]Scott Hallauer, Geoff Nitschke, Emma Hart:
Evolving Behavior Allocations in Robot Swarms. SSCI 2023: 1526-1531 - [c81]Brandon Gower-Winter, Geoff Nitschke:
Using Graph Theory to Produce Emergent Behaviour in Agent-Based Systems. SSCI 2023: 1690-1695 - 2022
- [j8]Geoff Nitschke, David Howard:
AutoFac: The Perpetual Robot Machine. IEEE Trans. Artif. Intell. 3(1): 2-10 (2022) - [c80]Sasha Abramowitz, Geoff Nitschke:
Towards Run-time Efficient Hierarchical Reinforcement Learning. CEC 2022: 1-8 - [c79]Brandon Gower-Winter, Geoff Nitschke:
Do harsher environments cause selfish or altruistic behavior? GECCO Companion 2022: 144-147 - [c78]Sasha Abramowitz, Geoff Nitschke:
Scalable evolutionary hierarchical reinforcement learning. GECCO Companion 2022: 272-275 - [c77]Brandon Gower-Winter, Geoff Nitschke:
Extreme Environments Perpetuate Cooperation. SSCI 2022: 1243-1250 - 2021
- [c76]Tassallah Abdullahi, Geoff Nitschke:
Predicting Disease Outbreaks with Climate Data. CEC 2021: 989-996 - [c75]Gregory Furman, Geoff Nitschke:
Environmental impact on evolving language diversity. GECCO Companion 2021: 107-108 - [c74]Christina Spanellis, Brooke Stewart, Geoff Nitschke:
The Environment and Body-Brain Complexity. GECCO 2021: 138-145 - [c73]Christopher Mailer, Geoff Nitschke, Leanne Raw:
Evolving gaits for damage control in a hexapod robot. GECCO 2021: 146-153 - [c72]Tassallah Abdullahi, Geoff Nitschke:
Disease outbreaks: tuning predictive machine learning. GECCO Companion 2021: 205-206 - [c71]Gregory Furman, Geoff Nitschke:
The Role of Speaker Prestige in Synthetic Language Evolution. ALIFE 2021: 67 - 2020
- [c70]Allen Huang, Geoff Nitschke:
Automating Coordinated Autonomous Vehicle Control. AAMAS 2020: 1867-1868 - [c69]Scott Hallauer, Geoff Nitschke:
Energy and Complexity in Evolving Collective Robot Bodies and Brains. CEC 2020: 1-8 - [c68]Chien-Lun Huang, Geoff Nitschke:
Evolutionary Automation of Coordinated Autonomous Vehicles. CEC 2020: 1-7 - [c67]Gregory Furman, Geoff Nitschke:
Evolving an artificial creole. GECCO Companion 2020: 85-86 - [c66]Scott Hallauer, Geoff Nitschke:
The expense of neuro-morpho functional machines. GECCO Companion 2020: 87-88 - [c65]Shane Acton, Sasha Abramowitz, Liron Toledo, Geoff Nitschke:
Efficiently Coevolving Deep Neural Networks and Data Augmentations. SSCI 2020: 2543-2550
2010 – 2019
- 2019
- [c64]Danielle Nagar, Alexander Furman, Geoff Nitschke:
The Cost of Complexity in Robot Bodies. CEC 2019: 2713-2720 - [c63]Alexander Furman, Danielle Nagar, Geoff Nitschke:
The cost of morphological complexity. GECCO (Companion) 2019: 125-126 - [c62]Paul Cohen, Geoff Nitschke:
Evolving music with emotional feedback. GECCO (Companion) 2019: 135-136 - [c61]Leon Coetzee, Geoff Nitschke:
Evolving optimal sun-shading building façades. GECCO (Companion) 2019: 393-394 - [c60]Danielle Nagar, Alexander Furman, Geoff Nitschke:
The Cost of Big Brains in Groups. ALIFE 2019: 404-411 - [c59]Alexander Furman, Danielle Nagar, Geoff Nitschke:
Automating Collective Robotic System Design. SSCI 2019: 1465-1472 - [i2]David Jones, Anja Schroeder, Geoff Nitschke:
Evolutionary Deep Learning to Identify Galaxies in the Zone of Avoidance. CoRR abs/1903.07461 (2019) - 2018
- [c58]Ruben Putter, Geoff Nitschke:
Is Novelty Search Good for Evolving Morphologically Robust Robot Controllers? AAMAS 2018: 2051-2053 - [c57]Olaf Witkowski, Geoff Nitschke:
The dynamics of cooperation versus competition. GECCO (Companion) 2018: 115-116 - [c56]Sabre Didi, Geoff Nitschke:
Policy transfer methods in RoboCup keep-away. GECCO (Companion) 2018: 117-118 - [c55]David Peter Shorten, Geoff Nitschke:
Exploring Exploration Catastrophes in Various Network Models. ALIFE 2018: 374-381 - [c54]Luke Taylor, Geoff Nitschke:
Improving Deep Learning with Generic Data Augmentation. SSCI 2018: 1542-1547 - [c53]Ruben Putter, Geoff Nitschke:
Objective versus Non-Objective Search in Evolving Morphologically Robust Robot Controllers. SSCI 2018: 2033-2040 - 2017
- [j7]Geoff Nitschke, Sabre Didi:
Evolutionary Policy Transfer and Search Methods for Boosting Behavior Quality: RoboCup Keep-Away Case Study. Frontiers Robotics AI 4: 62 (2017) - [c52]Chien-Lun Huang, Geoff Nitschke:
Evolving Collective Driving Behaviors. AAMAS 2017: 1573-1574 - [c51]Aashiq Parker, Geoff Nitschke:
How to best Automate Intersection Management. CEC 2017: 1247-1254 - [c50]Geoff Nitschke, Jessica Nitschke, Alexander Furman, Matthew Cherry:
Modeling patterns of wealth disparity in predynastic Upper Egypt. ECAL 2017: 322-323 - [c49]David Peter Shorten, Geoff S. Nitschke:
The Two Regimes of Neutral Evolution: Localization on Hubs and Delocalized Diffusion. EvoApplications (1) 2017: 310-325 - [c48]Ryan G. Goss, Geoff S. Nitschke:
Automated pattern identification and classification: anomaly detection case study. GECCO (Companion) 2017: 59-60 - [c47]Aashiq Parker, Geoff S. Nitschke:
Autonomous intersection driving with neuro-evolution. GECCO (Companion) 2017: 133-134 - [c46]Ruben Putter, Geoff Nitschke:
Evolving morphological robustness for collective robotics. SSCI 2017: 1-8 - [i1]Luke Taylor, Geoff Nitschke:
Improving Deep Learning using Generic Data Augmentation. CoRR abs/1708.06020 (2017) - 2016
- [c45]Geoff Nitschke, David Peter Shorten:
The Evolution of Evolvability in Evolutionary Robotics. ALIFE 2016: 260-267 - [c44]Geoff Nitschke, David Peter Shorten:
The Relationship Between Evolvability and Robustness in the Evolution of Boolean Networks. ALIFE 2016: 276-283 - [c43]Sabre Didi, Geoff S. Nitschke:
Neuro-Evolution for Multi-Agent Policy Transfer in RoboCup Keep-Away: (Extended Abstract). AAMAS 2016: 1281-1282 - [c42]Sabre Didi, Geoff Nitschke:
Multi-agent Behavior-Based Policy Transfer. EvoApplications (2) 2016: 181-197 - [c41]Sabre Didi, Geoff Nitschke:
Hybridizing novelty search for transfer learning. SSCI 2016: 1-8 - [c40]David Peter Shorten, Geoff S. Nitschke:
Neutral network assortativity shapes whether selective pressure promotes or hinders robustness. SSCI 2016: 1-6 - 2015
- [c39]Chien-Lun Huang, Geoff Nitschke, David Peter Shorten:
Searching for novelty in pole balancing. CEC 2015: 1792-1798 - [c38]James Watson, Geoff Nitschke:
Deriving minimal sensory configurations for evolved cooperative robot teams. CEC 2015: 3065-3071 - [c37]David Peter Shorten, Geoff S. Nitschke:
Evolving Generalised Maze Solvers. EvoApplications 2015: 783-794 - [c36]Sunrise Wang, James Edward Gain, Geoff Stuart Nitschke:
Controlling Crowd Simulations using Neuro-Evolution. GECCO 2015: 353-360 - [c35]James Watson, Geoff S. Nitschke:
Evolving Robust Robot Team Morphologies for Collective Construction. SSCI 2015: 1039-1046 - [c34]Jamie Hewland, Geoff Nitschke:
The Benefits of Adaptive Behavior and Morphology for Cooperation. SSCI 2015: 1047-1054 - 2014
- [c33]Sunrise Wang, James Edward Gain, Geoff Stuart Nitschke:
Comparing crossover operators in Neuro-Evolution with crowd simulations. IEEE Congress on Evolutionary Computation 2014: 2298-2305 - [c32]Faith Agwang, Willem S. van Heerden, Geoff Nitschke:
Lifetimes of migration. GECCO (Companion) 2014: 25-26 - [c31]David Peter Shorten, Geoff S. Nitschke:
Generational neuro-evolution: restart and retry for improvement. GECCO 2014: 225-232 - [c30]David Peter Shorten, Geoff Nitschke:
Flood evolution: changing the evolutionary substrate from a path of stepping stones to a field of rocks. GECCO (Companion) 2014: 1061-1064 - [c29]David Peter Shorten, Geoff S. Nitschke:
How evolvable is novelty search? ICES 2014: 125-132 - 2013
- [c28]Ryan G. Goss, Geoff S. Nitschke:
Automated network application classification: A competitive learning approach. CIComms 2013: 45-52 - [c27]Geoff Nitschke, Olaf Witkowski:
The Transmission of Migratory Behaviors. ECAL 2013: 1218-1219 - [c26]Ryan G. Goss, Geoff S. Nitschke:
Network protocol identification ensemble with EA optimization. GECCO (Companion) 2013: 1735-1736 - [c25]Geoff S. Nitschke, S. M. Tolkamp:
Approaches to dynamic team sizes. RiiSS 2013: 66-73 - 2012
- [j6]Geoff S. Nitschke, A. E. Eiben, Martijn C. Schut:
Evolving team behaviors with specialization. Genet. Program. Evolvable Mach. 13(4): 493-536 (2012) - [j5]Geoff S. Nitschke, Martijn C. Schut, A. E. Eiben:
Evolving behavioral specialization in robot teams to solve a collective construction task. Swarm Evol. Comput. 2: 25-38 (2012) - [c24]Geoff Nitschke:
Behavioral heterogeneity, cooperation, and collective construction. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [c23]Carina M. Viljoen, Geoff S. Nitschke, Willem S. van Heerden:
Evolution of a fictional dialogue. IEEE Congress on Evolutionary Computation 2011: 1100-1107 - [c22]Kobus de Bruyn, Geoff Nitschke, Willem S. van Heerden:
Evolutionary algorithms and Particle Swarm Optimization for artificial language evolution. IEEE Congress on Evolutionary Computation 2011: 2701-2708 - 2010
- [j4]Geoff S. Nitschke, Martijn C. Schut, A. E. Eiben:
Collective neuro-evolution for evolving specialized sensor resolutions in a multi-rover task. Evol. Intell. 3(1): 13-29 (2010) - [c21]Leo H. Langenhoven, Geoff S. Nitschke:
Neuro-evolution versus Particle Swarm Optimization for competitive co-evolution of pursuit-evasion behaviors. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c20]Geoff S. Nitschke, Leo H. Langenhoven:
Neuro-Evolution for competitive co-evolution of biologically canonical predator and prey behaviors. NaBIC 2010: 546-553
2000 – 2009
- 2009
- [c19]Geoff S. Nitschke:
Neuro-Evolution approaches to collective behavior. IEEE Congress on Evolutionary Computation 2009: 1554-1561 - [c18]Geoff Nitschke:
Neuro-Evolution Methods for Gathering and Collective Construction. ECAL (1) 2009: 115-123 - [c17]Camiel Castillo, Geoff Nitschke, Andries P. Engelbrecht:
Niche Particle Swarm Optimization for Neural Network Ensembles. ECAL (2) 2009: 399-407 - 2008
- [c16]D. W. F. van Krevelen, Geoff S. Nitschke:
Neuro-evolution for a gathering and collective construction task. GECCO 2008: 225-232 - [c15]Geoff Nitschke, Martijn C. Schut:
Designing multi-rover emergent specialization. GECCO 2008: 233-240 - 2007
- [c14]Geoff S. Nitschke, Martijn C. Schut, A. E. Eiben:
Emergent specialization in the extended multi-rover problem. IEEE Congress on Evolutionary Computation 2007: 3410-3417 - [c13]Geoff Nitschke:
Neuro-evolution Methods for Designing Emergent Specialization. ECAL 2007: 1120-1130 - [c12]Geoff Nitschke, Martijn C. Schut, A. E. Eiben:
Collective specialization in multi-rover systems. GECCO 2007: 342 - [c11]Ágoston E. Eiben, Geoff S. Nitschke, Martijn C. Schut:
Evolutionary Design of Specialization. ALIFE 2007: 417-424 - 2006
- [c10]A. E. Eiben, Geoff Nitschke, Martijn C. Schut:
Collective Specialization for Evolutionary Design of a Multi-robot System. Swarm Robotics 2006: 189-205 - 2005
- [j3]Geoff Nitschke:
Emergence of Cooperation: State of the Art. Artif. Life 11(3): 367-396 (2005) - [j2]Geoff Nitschke:
Designing emergent cooperation: a pursuit-evasion game case study. Artif. Life Robotics 9(4): 222-233 (2005) - [c9]Tamas Buresch, A. E. Eiben, Geoff Nitschke, Martijn C. Schut:
Effects of Evolutionary and Lifetime Learning on Minds and Bodies in an Artifical Society. BNAIC 2005: 325-326 - [c8]A. E. Eiben, Geoff Nitschke, Martijn C. Schut:
Evolving an agent collective for cooperative mine sweeping. Congress on Evolutionary Computation 2005: 831-836 - [c7]Tamas Buresch, A. E. Eiben, Geoff Nitschke, Martijn C. Schut:
Effects of evolutionary and lifetime learning on minds and bodies in an artifical society. Congress on Evolutionary Computation 2005: 1448-1454 - [c6]A. E. Eiben, Geoff Nitschke, Martijn C. Schut:
Comparative Reproduction Schemes for Evolving Gathering Collectives. ECAL 2005: 795-804 - [c5]Geoff Nitschke:
Emergent Cooperation in RoboCup: A Review. RoboCup 2005: 512-520 - 2003
- [c4]Geoff Nitschke:
Emergence of Specialized Behavior in a Pursuit-Evasion Game. CEEMAS 2003: 324-334 - [c3]Geoff Nitschke:
Emergence of Cooperation in a Multiple Predator, Single Prey Game. FLAIRS 2003: 234-238 - [c2]Geoff Nitschke:
Emergence of Cooperation in a Pursuit-Evasion Game. IJCAI 2003: 639-646 - [c1]Geoff Nitschke:
Co-evolution of cooperation in a pursuit evasion game. IROS 2003: 2037-2042 - 2001
- [j1]Geoff Nitschke:
Cooperating Air Traffic Control Agents. Appl. Artif. Intell. 15(2): 209-235 (2001)
Coauthor Index
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