Nature Inspired Algorithms for Robotic Odour Search

Created by W.Langdon from gp-bibliography.bib Revision:1.8620

@PhdThesis{Macedo:thesis,

• author = "Joao Pedro Goncalves Teixeira de Macedo",
• title = "Nature Inspired Algorithms for Robotic Odour Search",
• school = "Informatics Engineering, Intelligent Systems, University of Coimbra",
• year = "2023",
• address = "Portugal",
• month = may,
• keywords = "genetic algorithms, genetic programming, Geometric Syntactic Genetic Programming, GPInfotaxis, GSynGP, GPI, EI, Multi-robot swarm, Odour, Smell Source Localisation, Evolutionary Robotics, Evolutionary Algorithms, Procura de Fontes de Odor, Robotica Evolucionaria, Algoritmos Evolucionarios, Programacao Genetica, wind tunnel, SGX Sensortech MiCS-5524 sensor, LDS-01 LiDAR, Sharp 2YOA21F57, MOX sensor, STM32F411CEU6, Espressif ESP32-DevKitC, Marvelmind beacon, Kalman filter, wanderCrosswind, wanderDownwind, moveUpwind, moveRandom, spiral, moveTowards, infotaxis, EInfotaxis",
• URL = "https://estudogeral.uc.pt/handle/10316/114580",
• URL = "https://hdl.handle.net/10316/114580",
• URL = "https://estudogeral.uc.pt/bitstream/10316/114580/1/phdThesis_compressed-15.pdf",
• URL = "https://www.cisuc.uc.pt/download-file/18831/45hcp09aUiTps7WLpO9N",
• size = "216 pages",
• notes = "Also known as \cite{cisuc-6973-2023}

  phdThesis_compressed-15.pdf

  Supervisors: Lino Jose Forte Marques and Ernesto Jorge Fernandes Costa",

}

Genetic Programming entries for Joao Macedo

Citations