Genetic Programming Bibliography entries for Lino Marques

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GP coauthors/coeditors: Joao Macedo, Ernesto Costa,

Genetic Programming conference papers by Lino Marques

  1. Joao Macedo and Lino Marques and Ernesto Costa. Hybridizing Bio-Inspired Strategies with Infotaxis through Genetic Programming. In Alma Rahat and Jonathan Fieldsend and Markus Wagner and Sara Tari and Nelishia Pillay and Irene Moser and Aldeida Aleti and Ales Zamuda and Ahmed Kheiri and Erik Hemberg and Christopher Cleghorn and Chao-li Sun and Georgios Yannakakis and Nicolas Bredeche and Gabriela Ochoa and Bilel Derbel and Gisele L. Pappa and Sebastian Risi and Laetitia Jourdan and Hiroyuki Sato and Petr Posik and Ofer Shir and Renato Tinos and John Woodward and Malcolm Heywood and Elizabeth Wanner and Leonardo Trujillo and Domagoj Jakobovic and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Inmaculada Medina-Bulo and Slim Bechikh and Andrew M. Sutton and Pietro Simone Oliveto editors, Proceedings of the 2022 Genetic and Evolutionary Computation Conference, pages 95-103, Boston, USA, 2022. Association for Computing Machinery. details

  2. Joao Macedo and Lino Marques and Ernesto Costa. Evolving Infotaxis for Meandering Environments. In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 8431-8436, 2021. details

  3. Joao Macedo and Lino Marques and Ernesto Costa. Locating Odour Sources with Geometric Syntactic Genetic Programming. In Pedro A. Castillo and Juan Luis Jimenez Laredo and Francisco Fernandez de Vega editors, 23rd International Conference, EvoApplications 2020, volume 12104, pages 212-227, Seville, Spain, 2020. Springer Verlag. details

  4. Joao Macedo and Lino Marques and Ernesto Costa. Robotic odour search: Evolving a robot's brain with Genetic Programming. In 2017 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), pages 91-97, Coimbra, Portugal, 2017. details

  5. Joao Macedo and Ernesto Costa and Lino Marques. Genetic Programming Algorithms for Dynamic Environments. In Giovanni Squillero and Paolo Burelli editors, 19th European Conference on Applications of Evolutionary Computation, EvoApplications 2016, volume 9598, pages 280-295, Porto, Portugal, 2016. Springer. details

  6. Joao Macedo and Lino Marques and Ernesto Costa. Evolving Neural Networks for Multi-robot Odor Search. In 2016 International Conference on Autonomous Robot Systems and Competitions (ICARSC), pages 288-293, 2016. details