Kai Olav Ellefsen

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Visiting address Gaustadalléen 23 B Ole-Johan Dahls hus 0373 OSLO
Postal address Postboks 1080 Blindern 0316 OSLO

Publications

  • Ellefsen, Kai Olav; Lepikson, Herman & Albiez, Jan (2017). Multiobjective Coverage Path Planning: Enabling Automated Inspection of Complex, Real-World Structures. Applied Soft Computing.  ISSN 1568-4946.  (61), s 264- 282 . doi: 10.1016/j.asoc.2017.07.051
  • Ellefsen, Kai Olav & Tørresen, Jim (2017). Evolving neural networks with multiple internal models, In Carole Knibbe; Guillaume Beslon; David Parsons; Dusan Misevic; Jonathan Rouzaud-Cornabas; Nicolas Bredèche; Salima Hassas; Olivier Simonin & Hedi Soula (ed.),  Proceedings of the European Conference on Artificial Life 2017.  MIT Press.  ISBN 978-0-262-34633-7.  Artikkel.  s 138 - 145
  • Martin, Charles Patrick; Ellefsen, Kai Olav & Tørresen, Jim (2017). Deep Models for Ensemble Touch-Screen Improvisation , In George Fazekas; Mathieu Barthet & Tony Stockman (ed.),  Proceedings of the 12th International Audio Mostly Conference: Augmented and Participatory Sound and Music Experiences.  Association for Computing Machinery (ACM).  ISBN 978-1-4503-5373-1.  Conference paper.
  • Ellefsen, Kai Olav; Lepikson, Herman & Albiez, Jan (2016). Planning Inspection Paths through Evolutionary Multi-objective Optimization, In  GECCO '16: Proceedings of the Genetic and Evolutionary Computation Conference 2016.  Association for Computing Machinery (ACM).  ISBN 978-1-4503-4206-3.  Conference Paper.  s 893 - 900
  • Ellefsen, Kai Olav; Mouret, Jean-Baptiste & Clune, Jeff (2015). Neural Modularity Helps Organisms Evolve to Learn New Skills without Forgetting Old Skills. PloS Computational Biology.  ISSN 1553-734X.  11(4) . doi: 10.1371/journal.pcbi.1004128
  • Ellefsen, Kai Olav (2013). Balancing the Costs and Benefits of Learning Ability, In Pietro Liò; Orazio Miglino; Giuseppe Nicosia; Stefano Nolfi & Mario Pavone (ed.),  Advances in Artificial Life, ECAL 2013.Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems.  MIT Press.  ISBN 9780262317092.  Chapter in paper collection.  s 292 - 299
  • Ellefsen, Kai Olav (2013). Different regulation mechanisms for evolved critical periods in learning, In Carlos A. Coello Coello (ed.),  Proceedings of the IEEE Congress on Evolutionary Computation.  IEEE Communications Society.  ISBN 978-1-4799-0452-5.  pages 1193 - 1200.
  • Ellefsen, Kai Olav (2013). Evolved Sensitive Periods in Learning, In Pietro Liò; Orazio Miglino; Giuseppe Nicosia; Stefano Nolfi & Mario Pavone (ed.),  Advances in Artificial Life, ECAL 2013.Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems.  MIT Press.  ISBN 9780262317092.  Paper in collection.  s 409 - 416
  • Ellefsen, Kai Olav (2011). Dynamic Robot Scheduling Using a Genetic Algorithm. IEEE Transactions on Evolutionary Computation.  ISSN 1089-778X.  s 2025- 2032 . doi: 10.1109/CEC.2011.5949864
  • Ellefsen, Kai Olav (2010). A Genetic Algorithm for Flexible Robotic Planning , In Sule Yildirim & Anders Kofod-Petersen (ed.),  Proceedings of the second Norwegian Artificial Intelligence Symposium : November 22, 2010 Høgskolen i Gjøvik.  Tapir Akademisk Forlag.  ISBN 978-82-519-2704-8.  Bio-Inspired Methods.  s 19 - 27

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  • Ellefsen, Kai Olav (2017). Automating Robot Design with Evolutionary Algorithms.
  • Ellefsen, Kai Olav (2017). Evolutionary Robotics: Automatic design of robot bodies and control.
  • Ellefsen, Kai Olav (2017). Internal Models for Adaptation and Prediction.
  • Ellefsen, Kai Olav & Tørresen, Jim (2017). Evolving neural networks with multiple internal models.
  • Tørresen, Jim; Glette, Kyrre; Ellefsen, Kai Olav & Toft, Martin (2016, 25. november). UiO får åtte tildelingar for å samarbeida med oppinstitusjonar utanfor EU . [Internett].  http://www.uniforum.uio.no/nyheter/2016/11/uio-far-atte-tild.
  • Kofod-Petersen, Anders & Ellefsen, Kai Olav (ed.) (2012). Applied Artifical Intelligence - GEMINI centre for Applied Artificial Intelligence .
  • Ellefsen, Kai Olav (2010). A Genetic Algorithm for Flexible Robotic Planning.

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Published Mar. 22, 2017 2:15 PM - Last modified Mar. 22, 2017 2:46 PM