Robin T. Bye - Publications

[1] Ibrahim A. Hameed, Robin T. Bye, and Ottar L. Osen. Grey wolf optimizer (GWO) for automated offshore crane design. In Proceedings of IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016), December 2016. Under review. [ bib ]
[2] Ibrahim A. Hameed, Robin T. Bye, and Ottar L. Osen. A Comparison between Optimization Algorithms Applied to Offshore Crane Design using an Online Crane Prototyping Tool. In Proceedings of the 2nd International Conference on Advanced Intelligent Systems and Informatics (AISI16), October 2016. Accepted for publication. [ bib ]
[3] Ottar L. Osen, Albert Havnegjerde, Vegard Kamsvåg, Sveinung Liavaag, and Robin T. Bye. A Low Cost USV for Aqua Farm Inspection. In Proceedings of IEEE Techno-Ocean'16, October 2016. Accepted for publication. [ bib ]
[4] Robin T. Bye, Ottar L. Osen, Birger Skogeng Pedersen, Ibrahim A. Hameed, and Hans Georg Schaathun. A software framework for intelligent computer-automated product design. In Proceedings of the 30th European Conference on Modelling and Simulation (ECMS'16), pages 534--543, June 2016. [ bib | .pdf ]
[5] Tom Verplaetse, Filippo Sanfilippo, Adrian Rutle, Ottar L. Osen, and Robin T. Bye. On Usage of EEG Brain Control for Rehabilitation of Stroke Patients. In Proceedings of the 30th European Conference on Modelling and Simulation (ECMS'16), pages 544--553, June 2016. Best Student Paper Award. [ bib | .pdf ]
[6] Ibrahim A. Hameed, Robin T. Bye, Ottar L. Osen, Birger Skogeng Pedersen, and Hans Georg Schaathun. Intelligent computer-automated crane design using an online crane prototyping tool. In Proceedings of the 30th European Conference on Modelling and Simulation (ECMS'16), pages 564--573, June 2016. [ bib | .pdf ]
[7] Rolf-Magnus Hjørungdal, Filippo Sanfilippo, Ottar L. Osen, Adrian Rutle, and Robin T. Bye. A Game-based Learning Framework for Controlling Brain-Actuated Wheelchairs. In Proceedings of the 30th European Conference on Modelling and Simulation (ECMS'16), pages 554--563, June 2016. [ bib | .pdf ]
[8] Brice Assimizele, Johannes O. Royset, Robin T. Bye, and Johan Oppen. Preventing Environmental Disasters from Grounding Accidents: A Case Study of Tugboat Positioning along the Norwegian Coast. Journal of the Operational Research Society, 2016. Manuscript under review. [ bib ]
[9] Robin T. Bye, Peter D. Neilson, and Megan D. Neilson. The human operator favours decoupled control in aimed movement. Human Movement Science, 2016. Manuscript soon to be submitted. [ bib ]
[10] Brice Assimizele, Johannes O. Royset, Johan Oppen, and Robin T. Bye. A risk-averse decision-making tool for dynamic positioning of patrol tugs along the northern Norwegian coastline. 2016. Manuscript soon to be submitted. [ bib ]
[11] Hans Georg Schaathun. Evaluation of Splittable Pseudo-Random Generators. Journal of Functional Programming, 25:e6, May 2015. The research was partially funded by Regionalt Forskingsfond Midt-Norge through the project Dynamic Resource Allocation with Maritime Application (DRAMA), headed by Robin T. Bye. [ bib | DOI | http | .pdf ]
[12] Robin T. Bye and Hans Georg Schaathun. Evaluation heuristics for tug fleet optimisation algorithms: A computational simulation study of a receding horizon genetic algorithm. In Proceedings of the 4th International Conference on Operations Research and Enterprise Systems (ICORES'15), pages 270--282, 2015. Selected for extended publication in Springer book series Communications in Computer and Information Science. [ bib | .pdf ]
[13] Robin T. Bye, Adrian Rutle, Anne Stene, and Harald Yndestad. Nautilus21: A generic, integrated, and scalable 3D ocean simulator for scientific exploration and management of Norway's coastal waters and fjords. In Fjordantologien 2015, pages 365--391. Fjordkonferansen, 2015. [ bib | .pdf ]
[14] Robin T. Bye, Ottar L. Osen, and Birger Skogeng Pedersen. A computer-automated design tool for intelligent virtual prototyping of offshore cranes. In Proceedings of the 29th European Conference on Modelling and Simulation (ECMS'15), pages 147--156, 2015. [ bib | .pdf ]
[15] Adrian Rutle, Hao Wang, Robin T. Bye, and Ottar L. Osen. Scalable and user-friendly simulation. In Proceedings of the 29th European Conference on Modelling and Simulation (ECMS'15), pages 164--170, 2015. [ bib | .pdf ]
[16] Robin T. Bye and Hans Georg Schaathun. A simulation study of evaluation heuristics for tug fleet optimisation problems. In Operations Research and Enterprise Systems, Communications in Computer and Information Science, pages 165--190. Springer-Verlag: Berlin Heidelberg, 2015. [ bib | .pdf ]
[17] Peter D. Neilson, Megan D. Neilson, and Robin T. Bye. A Riemannian Geometry Model of Human Movement: The Geodesic Synergy Hypothesis. Human Movement Science, 44:42--72, 2015. [ bib | .pdf ]
[18] Anniken Karlsen and Robin T. Bye. Konkurranse som driver for læring: Erfaringer fra et emne i dataingeniørstudiet. In Proceedings of the 23rd Norsk konferanse for organisasjoners bruk av informasjonsteknologi (NOKOBIT'15), volume 23, 2015. UDIT track. [ bib | .pdf ]
[19] Anniken Karlsen and Robin T. Bye. Digital art application development: A project to increase motivation in systems development courses for bachelor students in computer engineering. In Entertainment Computing --- ICEC 2015, volume 9353 of Lecture Notes in Computer Science, pages 533--538. Springer International Publishing, 2015. [ bib | .pdf ]
[20] Welie Annett Schaathun, Hans Georg Schaathun, and Robin T. Bye. Aktiv læring i mikrokontrollarar. Uniped, 8(04):381--389, 2015. [ bib | .pdf ]
[21] Robin T. Bye and Hans Georg Schaathun. An improved receding horizon genetic algorithm for the tug fleet optimisation problem. In Proceedings of the 28th European Conference on Modelling and Simulation, pages 682--690, 2014. [ bib | .pdf ]
[22] Guoyuan Li, Houxiang Zhang, Jianwei Zhang, and Robin T. Bye. Development of Adaptive Locomotion of a Caterpillar-like Robot Based on a Sensory Feedback CPG Model. Advanced Robotics, 28(6):389--401, 2014. [ bib | .pdf ]
[23] Hans Georg Schaathun. Parallell Slump. In Proceedings of Norsk Informatikkonferanse (NIK'14), 2014. The research was partially funded by Regionalt Forskingsfond Midt-Norge through the project Dynamic Resource Allocation with Maritime Application (DRAMA), headed by Robin T. Bye. [ bib | .pdf ]
[24] Brice Assimizele, Johan Oppen, and Robin T. Bye. A sustainable model for optimal dynamic allocation of patrol tugs to oil tankers. In Proceedings of the 27th European Conference on Modelling and Simulation, pages 801--807, 2013. [ bib | .pdf ]
[25] Webjørn Rekdalsbakken, Robin T. Bye, and Houxiang Zhang, editors. Proceedings of the 27th European Conference on Modelling and Simulation (ECMS '13), Digitaldruck Pirrot GmbH 66125 Sbr.-Dudweiler, Germany, 2013. European Council for Modelling and Simulation. [ bib | .pdf ]
[26] Robin T. Bye. A receding horizon genetic algorithm for dynamic resource allocation: A case study on optimal positioning of tugs. In Computational Intelligence, volume 399, pages 131--147. Springer-Verlag: Berlin Heidelberg, 2012. [ bib | .pdf ]
[27] Harald Yndestad, Robin T. Bye, and Siebe B. van Albada. Multi-agents in a virtual regional landscape. In Proceedings of the Federated Conference on Computer Science and Information Systems (FedCSIS'12), pages 1269--1274, 2012. [ bib | .pdf ]
[28] Robin T. Bye, Siebe B. van Albada, and Harald Yndestad. A receding horizon genetic algorithm for dynamic multi-target assignment and tracking: A case study on the optimal positioning of tug vessels along the northern Norwegian coast. In Proceedings of the International Conference on Evolutionary Computation (ICEC'10) --- part of the International Joint Conference on Computational Intelligence (IJCCI 2010), pages 114--125, 2010. Selected for extended publication in Springer book series Computational Intelligence. [ bib | .pdf ]
[29] Robin T. Bye and Peter D. Neilson. The BUMP model of response planning: Intermittent predictive control accounts for 10 Hz physiological tremor. Human Movement Science, 29(5):713--736, 2010. [ bib | .pdf ]
[30] Robin T. Bye. The BUMP model of response planning: A neuroengineering account of speed-accuracy tradeoffs, velocity profiles, and physiological tremor in movement. PhD thesis, School of Electrical Engineering and Telecommunications, The University of New South Wales, Australia, September 2009. [ bib | .pdf ]
[31] Robin T. Bye and Peter D. Neilson. The BUMP model of response planning: Variable horizon predictive control accounts for the speed-accuracy tradeoffs and velocity profiles of aimed movement. Human Movement Science, 27(5):771--798, 2008. [ bib | .pdf ]
[32] Robin T. Bye. Decoupled, noninteractive control of the neuromusculoskeletal system, December 2003. Bachelor of Electrical Engineering thesis, School of Electrical Engineering and Telecommunications, University of New South Wales. [ bib | .pdf ]

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