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146 Dario Izzo and Mihály Csaba Markót[4] D. Izzo, M.Cs. Markót, and I. Nann, “A distributed global optimiser applied to the <strong>de</strong>sign of a constellationperforming radio-occultation measurements". Proceedings of the 15th AAS/AIAA Space Flight MechanicsConference, Copper Mountain, Colorado, 2005.[5] J. Kennedy and R.C. Eberhart, “Particle swarm optimisation", Proceedings of the IEEE international conferenceon neural networks, 1995, Vol. IV, pp. 1942–1948. IEEE service center, Piscataway, NJ.[6] J. Lampinen, “Differential Evolution — New Naturally Parallel Approach for Engineering Design optimisation".In: Barry H.V. Topping (ed.): Developments in Computational Mechanics with High PerformanceComputing. Civil-Comp Press, Edinburgh, 1999, pp. 217–228.[7] N. Metropolis and S. Ulam, “The Monte Carlo Method", J. Amer. Stat. Assoc. (44), 1949, pp. 335–341.[8] H.H. Rosenbrock, “An automatic method for finding the greatest or least value of a function. Computer Journal(3), 1960, pp. 175–184.[9] R. Storn and K. Price, “Differential Evolution - a Simple and Efficient Heuristic for Global optimisation overContinuous Spaces", J. Global optimisation (11), 1997, pp. 341-359.[10] A.S. Tanenbaum, Computer Networks, Prentice Hall, 2003.[11] D.J. Wales and J.P.K. Doye, “Global optimisation by basin-hopping and the lowest energy structures ofLennard-Jones clusters containing up to 110 Atoms", J. Phys. Chem. A. (101), 1997, pp. 5111–5116.[12] Windows Sockets 2 API documentation,ftp://ftp.microsoft.com/bussys/winsock/winsock2/WSAPI22.DOC

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