By Katia Sycara (auth.), F. M. T. Brazier, Kees Nieuwenhuis, Gregor Pavlin, Martijn Warnier, Costin Badica (eds.)
This booklet represents the mixed peer-reviewed complaints of the 5th foreign Symposium on clever allotted Computing -- IDC 2011 and of the 3rd foreign Workshop on Multi-Agent platforms know-how and Semantics -- MASTS 2011. either occasions have been held in Delft, The Netherlands in the course of October 5-7, 2011.
The 33 contributions released during this publication deal with many subject matters with regards to idea and purposes of clever disbursed computing and multi-agent platforms, together with: adaptive and independent disbursed platforms, agent programming, ambient assisted residing platforms, enterprise approach modeling and verification, cloud computing, coalition formation, selection help platforms, dispensed optimization and constraint delight, gesture acceptance, clever power administration in WSNs, clever logistics, computing device studying, cellular brokers, parallel and allotted computational intelligence, parallel evolutionary computing, belief metrics and safety, scheduling in dispensed heterogenous computing environments, semantic net provider composition, social simulation, and software program brokers for WSNs.
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Additional resources for Intelligent Distributed Computing V: Proceedings of the 5th International Symposium on Intelligent Distributed Computing – IDC 2011, Delft, The Netherlands – October 2011
Example text
Hanif et al. Kouki et al. also present an online solution [9] that performs re-optimization of routes (calculated by a mathematical model) for individual vehicle agents. It uses CNP to intelligently deal with dynamic environments. Both solutions are based on re-optimizing the whole solution for adaptability and may not be feasible for highly dynamic environments. In another MAS based solution [3], a centralized dispatcher allocates incoming requests to regional dispatchers. It adapts to the dynamic environment but its centralized nature limits its scalability.
Fundamenta Informaticae 71 (2006) 12. : Exploiting the Environment for Coordinating Agent Intentions. , Michel, F. ) E4MAS 2006. LNCS (LNAI), vol. 4389, pp. 51–66. Springer, Heidelberg (2007) 13. : Maintaining a Distributed Symbiotic Relationship using Delegate Multi agent Systems. In: Proc. of Winter Simulation Conference (2010) 14. : Anticipatory Vehicle Routing Using Delegate Multi-Agent Systems. In: Proc. of IEEE intelligent Transportation Systems Conference (2007) 15. : Neighborhood Search Heuristics for a Dynamic Vehicle Dispatching Problem with Pick-ups and Deliveries.
2 Experimental Setup and Results The setup for the experiment includes an area represented by a grid of 100X100 in which 150 agents are randomly placed. Each agent has a single truck and is given an area defined by a circle centered at the agent location with a Radius of 10. Each agent picks up packages within its circle, and assigned five packages that are randomly placed inside its area. The Pickup and Delivery Problems were solved using a straight forward A∗ algorithm. The results where accumulated and averaged over 10 randomly generated problems.
