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Introducing VECMAtk - Verification, Validation and Uncertainty Quantification for Multiscale and HPC Simulations.

, , , , , , , , , , , , , , , , , and . ICCS (4), volume 11539 of Lecture Notes in Computer Science, page 479-492. Springer, (2019)

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Training Randomly Connected, Recurrent Artificial Neural Networks Using PSO.. ANTS Conference, volume 6234 of Lecture Notes in Computer Science, page 578-579. Springer, (2010)On the Multi-objective Optimization Aided Drawing of Connectors for Graphs Related to Business Process Management., , , and . ICIST, volume 319 of Communications in Computer and Information Science, page 87-100. Springer, (2012)Optimizing Neighbourhood Distances for a Variant of Fully-Informed Particle Swarm Algorithm.. NICSO, volume 512 of Studies in Computational Intelligence, page 217-229. Springer, (2013)On Multi-Objective Optimization Aided Visualization of Graphs Related to Business Process Diagrams., , , and . DB&Local Proceedings, volume 924 of CEUR Workshop Proceedings, page 71-80. CEUR-WS.org, (2012)Introducing VECMAtk - Verification, Validation and Uncertainty Quantification for Multiscale and HPC Simulations., , , , , , , , , and 8 other author(s). ICCS (4), volume 11539 of Lecture Notes in Computer Science, page 479-492. Springer, (2019)Patterns for High Performance Multiscale Computing., , , , , , , , , and 5 other author(s). Future Generation Comp. Syst., (2019)