Parallel Logic Programming in Parlog: The Language and Its by Steve Gregory

By Steve Gregory

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273–316). References 1. : On Parameter Tuning in Search Based Software Engineer´ Cinn´eide, M. ) SSBSE 2011. LNCS, vol. 6956, pp. ing. , O 33–47. Springer, Heidelberg (2011) 2. : Differential Evolution for Multi-Objective Optimization. In: Proceedings of the 2003 Congress on Evolutionary Computation (CEC 2003), vol. 4, pp. 2696–2703. IEEE Press, Canberra (2003) 3. : Automated discovery of vital knowledge from paretooptimal solutions: First results from engineering design. In: World Congress on Computational Intelligence (WCCI 2010).

584–593. Springer, Heidelberg (1996) 51. : Exploring the Performance of Stochastic Multiobjective Optimisers with the Second-Order Attainment Function. , Zitzler, E. ) EMO 2005. LNCS, vol. 3410, pp. 250–264. Springer, Heidelberg (2005) 52. : Design of optimal aerodynamic shapes using stochastic optimization methods and computational intelligence. Progress in Aerospace Science 38(1), 43–76 (2002) 53. : Expected runtimes of a simple multi-objective evolutionary algorithm. In: Proceedings of Congress on Evolutionary Computation (CEC 2003).

DISCO allows the creation of service curves and provides a high degree of flexibility, including different methods for flow analysis. It provides an API written in Java allowing for easy integration with other components. The model of the network used by network calculus is much simpler than simulators such as OMNeT++. The representation consists of a basic network topology, link capacities, sustainable data rate (in bits per second) and a maximum packet size in bits. This is a significant abstraction of the network, but it Evolving Robust Networks for Systems-of-Systems 33 is sufficient for basic network modelling including periodic and periodic sources.

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