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Evolvability is an important feature that impacts the ability of evolutionary processes to find interesting novel solutions and to deal with changing conditions of the problem to solve.
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Towards an empirical measure of evolvability. In Proceedings of the Genetic and Evolutionary Computation Conference
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Is evolvability evolvable?
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Abandoning objectives: Evolution through the search for novelty alone
Joel Lehman and Kenneth O Stanley. 2011a · 2011
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Improving evolvability through novelty search and self-adaptation. In 2011 IEEE congress of evolutionary computation (CEC)
Joel Lehman and Kenneth O Stanley. 2011b · 2011
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Encouraging behavioral diversity in evolutionary robotics: An empirical study
J-B Mouret and Stéphane Doncieux. 2012 · 2012
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Josh C Bongard. 2013 · 2013
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The evolutionary origins of modularity
Jeff Clune, Jean-Baptiste Mouret, and Hod Lipson. 2013 · 2013
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Evolvability is inevitable: Increasing evolvability without the pressure to adapt
Joel Lehman and Kenneth O Stanley. 2013 · 2013
Evolvability signatures of generative encodings: beyond standard performance benchmarks
Danesh Tarapore and Jean-Baptiste Mouret. 2015 · 2015
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Reconciling explanations for the evolution of evolvability
Bryan Wilder and Kenneth Stanley. 2015 · 2015
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On the critical role of divergent selection in evolvability
Joel Lehman, Bryan Wilder, and Kenneth O Stanley. 2016 · 2016
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Evolvability search: directly selecting for evolvability in order to study and produce it. In Proceedings of the Genetic and Evolutionary Computation Conference
Henok Mengistu, Joel Lehman, and Jeff Clune. 2016 · 2016
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Beyond black-box optimization: a review of selective pressures for evolutionary robotics
Stephane Doncieux and Jean-Baptiste Mouret. 2014 · 2014
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How evolvable is novelty search?. In 2014 IEEE International Conference on Evolvable Systems
David Shorten and Geoff Nitschke. 2014 · 2014
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Evolutionary robotics: what, why, and where to
Stephane Doncieux, Nicolas Bredeche, Jean-Baptiste Mouret, and Agoston E Gusz Eiben. 2015 · 2015
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Devising effective novelty search algorithms: A comprehensive empirical study. In Proceedings of the Genetic and Evolutionary Computation Conference
Jorge Gomes, Pedro Mariano, and Anders Lyhne Christensen. 2015 · 2015
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Extinction events can accelerate evolution
Joel Lehman and Risto Miikkulainen. 2015 · 2015
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Illuminating search spaces by mapping elites
Jean-Baptiste Mouret and Jeff Clune. 2015 · 2015
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Quality diversity: A new frontier for evolutionary computation
Justin K Pugh, Lisa B Soros, and Kenneth O Stanley. 2016 · 2016
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How do different encodings influence the performance of the MAP-Elites algorithm?. In Proceedings of the Genetic and Evolutionary Computation Conference
Danesh Tarapore, Jeff Clune, Antoine Cully, and Jean-Baptiste Mouret. 2016 · 2016
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Quality and diversity optimization: A unifying modular framework
Antoine Cully and Yiannis Demiris. 2017 · 2017
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Autonomous skill discovery with quality-diversity and unsupervised descriptors. In Proceedings of the Genetic and Evolutionary Computation Conference
Antoine Cully. 2019 · 2019
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Novelty search: a theoretical perspective. In Proceedings of the Genetic and Evolutionary Computation Conference
Stephane Doncieux, Alban Laflaquière, and Alexandre Coninx. 2019 · 2019
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Unsupervised Learning and Exploration of Reachable Outcome Space. In IEEE International Conference on Robotics and Automation (ICRA)
Giuseppe Paolo, Alban Laflaquiere, Alexandre Coninx, and Stephane Doncieux. 2020 · 2020
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