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Geoff S. Nitschke

Geoff Stuart Nitschke – Geoff Nitschke

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affiliation: University of Cape Town, South Africa

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2020 – today

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2024
[c90]
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Geoff Nitschke, David Howard, Bilal Aslan:
Automating Robot Design with Multi-Level Evolution. CEC 2024: 1-8
[c89]
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Geoff Nitschke, Bilal Aslan, Flávio S. Corrêa da Silva:
Multi-Objective Evolution for Chemical Product Design. GECCO Companion 2024: 359-362
[c88]
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Geoff Nitschke, Bilal Aslan:
Morpho-Material Evolution for Automated Robot Design. GECCO Companion 2024: 475-478
2023
[c87]
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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]
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Geoff Nitschke, Sindiso Mkhatshwa:
The Impact of Morphological Diversity in Robot Swarms. GECCO 2023: 65-74
[c85]
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Geoff Nitschke, Scott Hallauer, Emma Hart:
Evolving Herding Behaviour Diversity in Robot Swarms. GECCO Companion 2023: 95-98
[c84]
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Geoff Nitschke, Brandon Gower-Winter:
Inequality and the Emergence of Social Stratification. GECCO Companion 2023: 159-162
[c83]
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Bilal Aslan, Flávio S. Corrêa da Silva, Geoff Nitschke:
Multi-Objective Evolution for Automated Chemistry. SSCI 2023: 152-157
[c82]
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Scott Hallauer, Geoff Nitschke, Emma Hart:
Evolving Behavior Allocations in Robot Swarms. SSCI 2023: 1526-1531
[c81]
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Brandon Gower-Winter, Geoff Nitschke:
Using Graph Theory to Produce Emergent Behaviour in Agent-Based Systems. SSCI 2023: 1690-1695
2022
[j8]
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Geoff Nitschke, David Howard:
AutoFac: The Perpetual Robot Machine. IEEE Trans. Artif. Intell. 3(1): 2-10 (2022)
[c80]
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Sasha Abramowitz, Geoff Nitschke:
Towards Run-time Efficient Hierarchical Reinforcement Learning. CEC 2022: 1-8
[c79]
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Brandon Gower-Winter, Geoff Nitschke:
Do harsher environments cause selfish or altruistic behavior? GECCO Companion 2022: 144-147
[c78]
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Sasha Abramowitz, Geoff Nitschke:
Scalable evolutionary hierarchical reinforcement learning. GECCO Companion 2022: 272-275
[c77]
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Brandon Gower-Winter, Geoff Nitschke:
Extreme Environments Perpetuate Cooperation. SSCI 2022: 1243-1250
2021
[c76]
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Tassallah Abdullahi, Geoff Nitschke:
Predicting Disease Outbreaks with Climate Data. CEC 2021: 989-996
[c75]
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Gregory Furman, Geoff Nitschke:
Environmental impact on evolving language diversity. GECCO Companion 2021: 107-108
[c74]
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Christina Spanellis, Brooke Stewart, Geoff Nitschke:
The Environment and Body-Brain Complexity. GECCO 2021: 138-145
[c73]
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Christopher Mailer, Geoff Nitschke, Leanne Raw:
Evolving gaits for damage control in a hexapod robot. GECCO 2021: 146-153
[c72]
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Tassallah Abdullahi, Geoff Nitschke:
Disease outbreaks: tuning predictive machine learning. GECCO Companion 2021: 205-206
[c71]
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Gregory Furman, Geoff Nitschke:
The Role of Speaker Prestige in Synthetic Language Evolution. ALIFE 2021: 67
2020
[c70]
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Allen Huang, Geoff Nitschke:
Automating Coordinated Autonomous Vehicle Control. AAMAS 2020: 1867-1868
[c69]
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Scott Hallauer, Geoff Nitschke:
Energy and Complexity in Evolving Collective Robot Bodies and Brains. CEC 2020: 1-8
[c68]
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Chien-Lun Huang, Geoff Nitschke:
Evolutionary Automation of Coordinated Autonomous Vehicles. CEC 2020: 1-7
[c67]
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Gregory Furman, Geoff Nitschke:
Evolving an artificial creole. GECCO Companion 2020: 85-86
[c66]
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Scott Hallauer, Geoff Nitschke:
The expense of neuro-morpho functional machines. GECCO Companion 2020: 87-88
[c65]
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Shane Acton, Sasha Abramowitz, Liron Toledo, Geoff Nitschke:
Efficiently Coevolving Deep Neural Networks and Data Augmentations. SSCI 2020: 2543-2550

2010 – 2019

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2019
[c64]
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Danielle Nagar, Alexander Furman, Geoff Nitschke:
The Cost of Complexity in Robot Bodies. CEC 2019: 2713-2720
[c63]
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Alexander Furman, Danielle Nagar, Geoff Nitschke:
The cost of morphological complexity. GECCO (Companion) 2019: 125-126
[c62]
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Paul Cohen, Geoff Nitschke:
Evolving music with emotional feedback. GECCO (Companion) 2019: 135-136
[c61]
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Leon Coetzee, Geoff Nitschke:
Evolving optimal sun-shading building façades. GECCO (Companion) 2019: 393-394
[c60]
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Danielle Nagar, Alexander Furman, Geoff Nitschke:
The Cost of Big Brains in Groups. ALIFE 2019: 404-411
[c59]
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Alexander Furman, Danielle Nagar, Geoff Nitschke:
Automating Collective Robotic System Design. SSCI 2019: 1465-1472
[i2]
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David Jones, Anja Schroeder, Geoff Nitschke:
Evolutionary Deep Learning to Identify Galaxies in the Zone of Avoidance. CoRR abs/1903.07461 (2019)
2018
[c58]
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Ruben Putter, Geoff Nitschke:
Is Novelty Search Good for Evolving Morphologically Robust Robot Controllers? AAMAS 2018: 2051-2053
[c57]
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Olaf Witkowski, Geoff Nitschke:
The dynamics of cooperation versus competition. GECCO (Companion) 2018: 115-116
[c56]
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  - conf/gecco/DidiN18
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Sabre Didi, Geoff Nitschke:
Policy transfer methods in RoboCup keep-away. GECCO (Companion) 2018: 117-118
[c55]
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David Peter Shorten, Geoff Nitschke:
Exploring Exploration Catastrophes in Various Network Models. ALIFE 2018: 374-381
[c54]
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Luke Taylor, Geoff Nitschke:
Improving Deep Learning with Generic Data Augmentation. SSCI 2018: 1542-1547
[c53]
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Ruben Putter, Geoff Nitschke:
Objective versus Non-Objective Search in Evolving Morphologically Robust Robot Controllers. SSCI 2018: 2033-2040
2017
[j7]
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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]
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Chien-Lun Huang, Geoff Nitschke:
Evolving Collective Driving Behaviors. AAMAS 2017: 1573-1574
[c51]
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Aashiq Parker, Geoff Nitschke:
How to best Automate Intersection Management. CEC 2017: 1247-1254
[c50]
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Geoff Nitschke, Jessica Nitschke, Alexander Furman, Matthew Cherry:
Modeling patterns of wealth disparity in predynastic Upper Egypt. ECAL 2017: 322-323
[c49]
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David Peter Shorten, Geoff S. Nitschke:
The Two Regimes of Neutral Evolution: Localization on Hubs and Delocalized Diffusion. EvoApplications (1) 2017: 310-325
[c48]
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Ryan G. Goss, Geoff S. Nitschke:
Automated pattern identification and classification: anomaly detection case study. GECCO (Companion) 2017: 59-60
[c47]
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Aashiq Parker, Geoff S. Nitschke:
Autonomous intersection driving with neuro-evolution. GECCO (Companion) 2017: 133-134
[c46]
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Ruben Putter, Geoff Nitschke:
Evolving morphological robustness for collective robotics. SSCI 2017: 1-8
[i1]
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Luke Taylor, Geoff Nitschke:
Improving Deep Learning using Generic Data Augmentation. CoRR abs/1708.06020 (2017)
2016
[c45]
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Geoff Nitschke, David Peter Shorten:
The Evolution of Evolvability in Evolutionary Robotics. ALIFE 2016: 260-267
[c44]
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Geoff Nitschke, David Peter Shorten:
The Relationship Between Evolvability and Robustness in the Evolution of Boolean Networks. ALIFE 2016: 276-283
[c43]
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Sabre Didi, Geoff S. Nitschke:
Neuro-Evolution for Multi-Agent Policy Transfer in RoboCup Keep-Away: (Extended Abstract). AAMAS 2016: 1281-1282
[c42]
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Sabre Didi, Geoff Nitschke:
Multi-agent Behavior-Based Policy Transfer. EvoApplications (2) 2016: 181-197
[c41]
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Sabre Didi, Geoff Nitschke:
Hybridizing novelty search for transfer learning. SSCI 2016: 1-8
[c40]
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David Peter Shorten, Geoff S. Nitschke:
Neutral network assortativity shapes whether selective pressure promotes or hinders robustness. SSCI 2016: 1-6
2015
[c39]
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Chien-Lun Huang, Geoff Nitschke, David Peter Shorten:
Searching for novelty in pole balancing. CEC 2015: 1792-1798
[c38]
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  - conf/cec/WatsonN15
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James Watson, Geoff Nitschke:
Deriving minimal sensory configurations for evolved cooperative robot teams. CEC 2015: 3065-3071
[c37]
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David Peter Shorten, Geoff S. Nitschke:
Evolving Generalised Maze Solvers. EvoApplications 2015: 783-794
[c36]
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Sunrise Wang, James Edward Gain, Geoff Stuart Nitschke:
Controlling Crowd Simulations using Neuro-Evolution. GECCO 2015: 353-360
[c35]
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James Watson, Geoff S. Nitschke:
Evolving Robust Robot Team Morphologies for Collective Construction. SSCI 2015: 1039-1046
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Jamie Hewland, Geoff Nitschke:
The Benefits of Adaptive Behavior and Morphology for Cooperation. SSCI 2015: 1047-1054
2014
[c33]
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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]
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Faith Agwang, Willem S. van Heerden, Geoff Nitschke:
Lifetimes of migration. GECCO (Companion) 2014: 25-26
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David Peter Shorten, Geoff S. Nitschke:
Generational neuro-evolution: restart and retry for improvement. GECCO 2014: 225-232
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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
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David Peter Shorten, Geoff S. Nitschke:
How evolvable is novelty search? ICES 2014: 125-132
2013
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Ryan G. Goss, Geoff S. Nitschke:
Automated network application classification: A competitive learning approach. CIComms 2013: 45-52
[c27]
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Geoff Nitschke, Olaf Witkowski:
The Transmission of Migratory Behaviors. ECAL 2013: 1218-1219
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Ryan G. Goss, Geoff S. Nitschke:
Network protocol identification ensemble with EA optimization. GECCO (Companion) 2013: 1735-1736
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Geoff S. Nitschke, S. M. Tolkamp:
Approaches to dynamic team sizes. RiiSS 2013: 66-73
2012
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Geoff S. Nitschke, A. E. Eiben, Martijn C. Schut:
Evolving team behaviors with specialization. Genet. Program. Evolvable Mach. 13(4): 493-536 (2012)
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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)
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Geoff Nitschke:
Behavioral heterogeneity, cooperation, and collective construction. IEEE Congress on Evolutionary Computation 2012: 1-8
2011
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Carina M. Viljoen, Geoff S. Nitschke, Willem S. van Heerden:
Evolution of a fictional dialogue. IEEE Congress on Evolutionary Computation 2011: 1100-1107
[c22]
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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
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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]
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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
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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

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2009
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Geoff S. Nitschke:
Neuro-Evolution approaches to collective behavior. IEEE Congress on Evolutionary Computation 2009: 1554-1561
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Geoff Nitschke:
Neuro-Evolution Methods for Gathering and Collective Construction. ECAL (1) 2009: 115-123
[c17]
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Camiel Castillo, Geoff Nitschke, Andries P. Engelbrecht:
Niche Particle Swarm Optimization for Neural Network Ensembles. ECAL (2) 2009: 399-407
2008
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D. W. F. van Krevelen, Geoff S. Nitschke:
Neuro-evolution for a gathering and collective construction task. GECCO 2008: 225-232
[c15]
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Geoff Nitschke, Martijn C. Schut:
Designing multi-rover emergent specialization. GECCO 2008: 233-240
2007
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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]
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Geoff Nitschke:
Neuro-evolution Methods for Designing Emergent Specialization. ECAL 2007: 1120-1130
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Geoff Nitschke, Martijn C. Schut, A. E. Eiben:
Collective specialization in multi-rover systems. GECCO 2007: 342
[c11]
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Ágoston E. Eiben, Geoff S. Nitschke, Martijn C. Schut:
Evolutionary Design of Specialization. ALIFE 2007: 417-424
2006
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A. E. Eiben, Geoff Nitschke, Martijn C. Schut:
Collective Specialization for Evolutionary Design of a Multi-robot System. Swarm Robotics 2006: 189-205
2005
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Geoff Nitschke:
Emergence of Cooperation: State of the Art. Artif. Life 11(3): 367-396 (2005)
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Geoff Nitschke:
Designing emergent cooperation: a pursuit-evasion game case study. Artif. Life Robotics 9(4): 222-233 (2005)
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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]
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A. E. Eiben, Geoff Nitschke, Martijn C. Schut:
Evolving an agent collective for cooperative mine sweeping. Congress on Evolutionary Computation 2005: 831-836
[c7]
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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]
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A. E. Eiben, Geoff Nitschke, Martijn C. Schut:
Comparative Reproduction Schemes for Evolving Gathering Collectives. ECAL 2005: 795-804
[c5]
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Geoff Nitschke:
Emergent Cooperation in RoboCup: A Review. RoboCup 2005: 512-520
2003
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Geoff Nitschke:
Emergence of Specialized Behavior in a Pursuit-Evasion Game. CEEMAS 2003: 324-334
[c3]
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Geoff Nitschke:
Emergence of Cooperation in a Multiple Predator, Single Prey Game. FLAIRS 2003: 234-238
[c2]
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Geoff Nitschke:
Emergence of Cooperation in a Pursuit-Evasion Game. IJCAI 2003: 639-646
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Geoff Nitschke:
Co-evolution of cooperation in a pursuit evasion game. IROS 2003: 2037-2042
2001
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Geoff Nitschke:
Cooperating Air Traffic Control Agents. Appl. Artif. Intell. 15(2): 209-235 (2001)

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