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Towards hybrid simulation of self-organizing and distributed vehicle routing in large traffic systems.

, , , and . BMEI, page 2313-2321. IEEE, (2011)

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Worst-Case Blocking Scenarios for Distributed Real-Time Programs., and . RTS, page 15-21. IEEE Computer Society, (1996)DEZENT - A Cyber-Physical Approach for Providing Affordable Regenerative Electric Energy in the Near Future.. EUROMICRO-SEAA, page 241-249. IEEE Computer Society, (2012)BeeHive., and . Handbook of Bioinspired Algorithms and Applications, Chapman and Hall/CRC, (2005)Are formal methods useful for software development?, , , , , and . COMPSAC, page 2-9. IEEE, (1992)Einbindung von intelligenten Entscheidungsverfahren in die dynamische Simulation von elektrischen Energiesystemen., , , , , , , and . Informatik Spektrum, 36 (1): 6-16 (2013)Distributed Learning Strategies for Collaborative Agents in Adaptive Decentralized Power Systems., , , , and . ECBS, page 26-35. IEEE Computer Society, (2008)Minimizing Vehicular Travel Times Using the Multi-Agent System BeeJamA., and . PROFES, volume 7343 of Lecture Notes in Computer Science, page 335-349. Springer, (2012)Bee Inspired Bottom-Up Self-Organization in Vehicular Traffic Management., , , and . SASO, page 278-279. IEEE Computer Society, (2009)2-Way evaluation of the distributed BeeJamA vehicle routing approach., and . Intelligent Vehicles Symposium, page 205-210. IEEE, (2012)Distributed real-time task monitoring in the safety-critical system Melody., , and . ECRTS, page 158-165. IEEE Computer Society, (1999)