Distributed implementation of neuroevolution of augmenting topologies method

• Опубліковано в: PROBLEMS IN PROGRAMMING
• Дата: 2021
• Випуск: 3
• Сторінки: 03-15
• ISSN: 1727-4907
• Автори та афіліації: I.Z. Achour — NTUU "KPI"; A.Yu. Doroshenko — Institute of Software Systems NAS of Ukraine
• Автори: Achour, I.Z., Doroshenko, A.Yu.
• Формат: Стаття
• Мова: Українська
• Опубліковано: PROBLEMS IN PROGRAMMING 2021
• Теми: 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
• Онлайн доступ: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/467
• Назва журналу: 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,...