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Optimisation of Multilayer Perceptrons Using a Distributed Evolutionary Algorithm with SOAP.

, , , , , and . PPSN, volume 2439 of Lecture Notes in Computer Science, page 676-688. Springer, (2002)

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SA-Prop: Optimization of Multilayer Perceptron Parameters Using Simulated Annealing., , , , and . IWANN (1), volume 1606 of Lecture Notes in Computer Science, page 661-670. Springer, (1999)Optimizing Web Newspaper Layout Using Simulated Annealing., , , , and . IWANN (2), volume 1607 of Lecture Notes in Computer Science, page 759-768. Springer, (1999)Exploring population structures for locally concurrent and massively parallel Evolutionary Algorithms., , , and . IEEE Congress on Evolutionary Computation, page 2605-2612. IEEE, (2008)NodEO, a multi-paradigm distributed evolutionary algorithm platform in JavaScript., , , , and . GECCO (Companion), page 1155-1162. ACM, (2014)Optimization of Massive Connections in 5G Networks for IoT., , , , , and . IoTSMS, page 581-585. IEEE, (2019)Using SOM for Neural Network Visualization., , , and . IWANN (1), volume 2084 of Lecture Notes in Computer Science, page 629-636. Springer, (2001)Evolvable Agents: A Framework for Peer-to-Peer Evolutionary Algorithms., , and . Parallel and Distributed Computational Intelligence, volume 269 of Studies in Computational Intelligence, Springer, (2010)Co-evolving Multilayer Perceptrons Along Training Sets., , , , and . Fuzzy Days, volume 33 of Advances in Soft Computing, page 503-513. Springer, (2004)A Methodology to Develop Service Oriented Evolutionary Algorithms., , , , and . IDC, volume 570 of Studies in Computational Intelligence, page 119-125. Springer, (2014)Exploring selection mechanisms for an agent-based distributed evolutionary algorithm., , , , , and . GECCO (Companion), page 2801-2808. ACM, (2007)