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 76-90 out of 898 results
76 K. Zervoudakis, S. Tsafarakis, and P.-P, Sovatzidi, “A new hybrid Firefly – Genetic algorithm for the optimal product line design problem,” in Learning and Intelligent Optimization, vol 11968, Lecture Notes in Computer Science, N. Matsatsinis, Y. Marinakis, P. Pardalos, Eds., Cham, Switzerland: Springer Nature, 2020, pp. 284–297, doi: 10.1007/978-3-030-38629-0_23.2022-05-17
77 E. Tsakirakis, M. Marinaki, and Y. Marinakis, “A hybrid variation Harmony Search algorithm for the Team Orienteering Problem with capacity limitations,” in Learning and Intelligent Optimization, vol 11968, Lecture Notes in Computer Science, N. Matsatsinis, Y. Marinakis, P. Pardalos, Eds., Cham, Switzerland: Springer Nature, 2020, pp. 146–156, doi: 10.1007/978-3-030-38629-0_12.2022-05-17
78 E. Rapanaki, I.-D. Psychas, M. Marinaki, N. Matsatsinis, and Y. Marinakis, “A Krill Herd algorithm for the multiobjective energy reduction multi-depot vehicle routing problem,” in Machine Learning, Optimization, and Data Science, vol 12565, Lecture Notes in Computer Science, Cham, Switzerland: Springer Nature, 2020, pp. 434–447, doi: 10.1007/978-3-030-64583-0_39.2022-05-10
79 N. I. Spanoudakis, “Statecharts and agent technology: the past and future,” in Multi-Agent Systems and Agreement Technologies, vol 12520, Lecture Notes in Computer Science, N. Bassiliades, G. Chalkiadakis, D. de Jonge, Eds., Cham, Switzerland: Springer Nature, 2020, pp. 511–528, doi: 10.1007/978-3-030-66412-1_33.2022-05-10
80 N. Spanoudakis, K. Kostis, and K. Mania, "Argumentation for all," in Proceedings of the 35th ACM/SIGAPP Symposium on Applied Computing (SAC ’20), Brno, Czech Republic, 2020, pp. 980–982, doi: 10.1145/3341105.3374122.2022-05-05
81 S. Zhang, M. Diamantis, Y. Wang, J. Guo, I. Papamichail, M. Papageorgiou, L. Zhang, and J. S. Hu, “Joint queue estimation and max pressure control for signalized urban networks with connected vehicles,” in 2020 Forum Integr. Sustain. Transp. Syst. (FISTS), Delft, The Netherlands, 2020, pp. 211- 217, doi: 10.1109/FISTS46898.2020.9264889.2022-04-29
82 G. J. Tsinarakis, P. S. Spanoudakis, G. Arabatzis, N. C. Tsourveloudis, and L. Doitsidis, "Implementation of a petri-net based digital twin for the development procedure of an electric vehicle," in Mediterr. Conf. Control Autom. MED, 2020, pp. 862-867, doi: 10.1109/MED48518.2020.9182784.2022-01-25
83 J. Cao, Y. Hu, M. Diamantis, S. Zhang, Y. Wang, J. Guo, I. Papamichail, M. Papageorgiou, L. Zhang, and J. S. Hu, “A max pressure approach to urban network signal control with queue estimation using connected vehicle data,” in 2020 IEEE Intell. Transp. Syst. Conf. ITSC, 2020, pp. 1-8. doi: 10.1109/ITSC45102.2020.9294361.2022-01-24
84 I. Karafyllis, D. Theodosis, and M. Papageorgiou (2021). A novel nonlinear adaptive cruise controller for vehicular platoons. Presented at 2021 European Control Conference (ECC). [Online]. Available: https://ecc21.euca-ecc.org/2021-07-06
85 M. Malekzadeh, I. Papamichail, and M. Papageorgiou (2021). Internal boundary control of lane-free automated vehicle traffic using a Linear Quadratic Integral regulator. Presented at 2021 European Control Conference (ECC). [Online]. Available: https://ecc21.euca-ecc.org/2021-07-06
86 M. Malekzadeh, I. Papamichail, M. Papageorgiou, and K. Bogenberger (2021). Optimal control of internal road boundary for lane-free automated vehicle traffic. Presented at 7th Int. IEEE Conf. Models and Technologies for Intelligent Transportation Systems (MT-ITS 2021). [Online]. Available: https://www.mt-its2021.tse.bgu.tum.de/2021-07-06
87 M. Malekzadeh, I. Papamichail, and M. Papageorgiou, "Internal boundary control of lane-free automated vehicle traffic using a model-free adaptive controller," presented at 16th IFAC Symposium on Control in Transportation Systems, Lille, France, June 8-10, 2021.2021-07-06
88 D. Troullinos, G. Chalkiadakis, I. Papamichail, and M. Papageorgiou, "Collaborative multiagent decision making for lane-free autonomous driving," in 20th Int. Conf. Autonomous Agents and Multiagent Systems, 2021, pp. 1335-1343. doi: 10.48448/pxjq-9b342021-07-06
89 I. Karafyllis, D. Theodosis, and M. Papageorgiou, "Using nudging for the control of a non-local PDE traffic flow model," in 23rd IEEE Int. Conf. Intelligent Transportation Systems (ITSC), 2020, pp. 1260-1265. doi: 10.1109/ITSC45102.2020.92942642021-07-06
90 Y. Marinakis and M. Marinaki, "An adaptive parameter free particle swarm optimization algorithm for the permutation flowshop scheduling problem," in Machine Learning, Optimization, and Data Science, vol. 11943, Lecture Notes in Computer Science, G. Nicosia, P. Pardalos, R. Umeton, G. Giuffrida, V. Sciacca, Eds., Cham, Switzerland: Springer Nature, 2019, pp. 168-179. doi: 10.1007/978-3-030-37599-7_152020-10-26
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