Distributed implementation of neuroevolution of augmenting topologies method

• Date: 2021
• Main Authors: Achour, I.Z., Doroshenko, A.Yu.
• Format: Article
• Language: Ukrainian
• Published: PROBLEMS IN PROGRAMMING 2021
• Subjects: NEAT; neuroevolution of augmenting topologies; artificial neural networks; reinforcement learning; genetic algorithms; distributed computing; cloud computing; UDC 004.272.26 + 004.021 + 004.032.26
• Online Access: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/467
• Journal Title: Problems in programming

Despite the neuroevolution of augmenting topologies method strengths, like the capability to be used in cases where the formula for a cost function and the topology of the neural network are difficult to determine, one of the main problems of such methods is slow convergence towards optimal results,...