Now showing items 1-3 of 3

  • BPGA-EDA for the multi-mode resource constrained project scheduling problem. 

    Ayodele, Mayowa; McCall, John; Regnier-Coudert, Olivier (IEEE https://doi.org/10.1109/CEC.2016.7744222, 2016-11-21)
    AYODELE, M., MCCALL, J. and REGNIER-COUDERT, O. 2016. BPGA-EDA for the multi-mode resource constrained project scheduling problem. In the Proceedings of the IEEE congress on evolutionary computation (CEC), 24-29 July 2016, Vancouver, Canada. Piscataway, NJ: IEEE [online], pages 3417-3424. Available from: https://doi.org/10.1109/CEC.2016.7744222
    The Multi-mode Resource Constrained Project Scheduling Problem (MRCPSP) has been of research interest for over two decades. The problem is composed of two interacting sub problems: mode assignment and activity scheduling. ...
  • The evolution of modular artificial neural networks 

    Muthuraman, Sethuraman (The Robert Gordon University School of Engineering, 2005)
    This thesis describes a novel approach to the evolution of Modular Artificial Neural Networks. Standard Evolutionary Algorithms, used in this application include: Genetic Algorithms, Evolutionary Strategies, Evolutionary ...
  • The functionality of spatial and time domain artificial neural models 

    Capanni, Niccolo Francesco (The Robert Gordon University School of Engineering, 2006-08)
    This thesis investigates the functionality of the units used in connectionist Artificial Intelligence systems. Artificial Neural Networks form the foundation of the research and their units, Artificial Neurons, are first ...