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Titlebook: Intelligent Distributed Computing V; Proceedings of the 5 F. M. T. Brazier,Kees Nieuwenhuis,Costin Badica Conference proceedings 2012 Sprin

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21#
發(fā)表于 2025-3-25 04:58:53 | 只看該作者
Delegate MAS for Large Scale and Dynamic PDP: A Case Studydy of various types of solutions. Both centralized solutions, using discrete optimization techniques, as well as distributed, multi-agent system (MAS) solutions, have proven their merits. However, real PDP problems today are more and more characterized by (1) dynamism - in terms of tasks, service ti
22#
發(fā)表于 2025-3-25 07:32:00 | 只看該作者
SOCIAL DCOP - Social Choice in Distributed Constraints Optimizationwelfare function (SWF). DSCOPs have individual, non-binary and asymmetric constraints and thus form a unique DCOP class. DSCOPs provide a natural framework for agents that compute their costs individually and are therefore self-interested. The concept of social welfare is discussed and SWFs are pres
23#
發(fā)表于 2025-3-25 11:45:29 | 只看該作者
24#
發(fā)表于 2025-3-25 15:53:36 | 只看該作者
Cloud Storage and Online Bin Packingts and a cost associated with serving the request by allocating space on a certain server one seeks to select the minimum number of servers as to minimize total cost. We use two different algorithms and propose a third algorithm. We show that our proposed algorithm performs better for large number o
25#
發(fā)表于 2025-3-25 23:05:53 | 只看該作者
26#
發(fā)表于 2025-3-26 02:56:27 | 只看該作者
27#
發(fā)表于 2025-3-26 05:42:55 | 只看該作者
28#
發(fā)表于 2025-3-26 11:10:25 | 只看該作者
An Implementation of Evolutionary Computation Operators in OpenCLltiple evolutionary operators are tested (tournament, roulette wheel selection, uniform and Gaussian mutation, crossover, recombination), as well as different approaches for parallelism, for small and large problem sizes. We use the Island Model of Parallel GA, with random migration. Performance is
29#
發(fā)表于 2025-3-26 15:26:16 | 只看該作者
30#
發(fā)表于 2025-3-26 18:57:15 | 只看該作者
Towards an Adaptive Supervision of Distributed Systems disrupted or too costly. To obtain a supervision system that is able to dynamically adapt itself to the communications’ state, we propose to distribute the supervision process through several autonomous agents. To evaluate our approach, we made experiments on a simulator for distributed systems usi
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