4 documents found, page 1 of 1
Sensitivity of the Cherenkov Telescope Array to a dark matter signal from the G...
Acharyya, A.; Adam, R.; Adams, C.; Agudo, I.; Aguirre-Santaella, A.; Alfaro, R.; Alfaro, J.; Alispach, C.; Aloisio, R.; Alves Batista, R.; Amati, L.Made available in DSpace on 2021-06-25T10:51:09Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01; Natural Sciences and Engineering Research Council of Canada; Fakulta Elektrotechniky a Informatiky, Vysoká Škola Bánská - Technická Univerzita Ostrava; Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica; Corporación de Fomento de la Producción; Seventh Framework Programme; ...
Estudo sobre a implementação da metodologia BIM (building information modeling)...
Machado, P.; Romano, P.; Lopes, P.; Brito, P.; Correia, R.; Couto, J. PedroAt the international level, the adoption of the BIM (Building Information Modeling) methodology is rapidly expanding and is already a reality in several countries. The level of implementation and maturity differ between different countries. Several governments are encouraging a paradigm shift in the construction sector, looking for this change to promote greater efficiency and productivity. However, for this ch...
Monte Carlo studies for the optimisation of the Cherenkov Telescope Array layout
Acharyya, A.; Agudo, I.; Angüner, E. O.; Alfaro, R.; Alfaro, J.; Alispach, C.; Aloisio, R.; Alves Batista, R.; Amans, J. P.; Amati, L.; Amato, E.Made available in DSpace on 2019-10-06T16:24:15Z (GMT). No. of bitstreams: 0 Previous issue date: 2019-09-01; Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica; Seventh Framework Programme; Horizon 2020; Consejo Nacional de Innovación, Ciencia y Tecnología; Ministerstvo Školství, Mládeže a Tělovýchovy; Uddannelses- og Forskningsministeriet; Ministerio de Economía, Industria y Comp...
Genome variations: Effects on the robustness of neuroevolved control for swarm ...
Romano, P.; Nunes, L.; Christensen, A. L.; Duarte, M.; Oliveira, S.Manual design of self-organized behavioral control for swarms of robots is a complex task. Neuroevolution has proved a viable alternative given its capacity to automatically synthesize controllers. In this paper, we introduce the concept of Genome Variations (GV) in the neuroevolution of behavioral control for robotic swarms. In an evolutionary setup with GV, a slight mutation is applied to the evolving neural ...