70,055 research outputs found

    Genetic algorithms with immigrants and memory schemes for dynamic shortest path routing problems in mobile ad hoc networks

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    This article is posted here with permission of IEEE - Copyright @ 2010 IEEEIn recent years, the static shortest path (SP) problem has been well addressed using intelligent optimization techniques, e.g., artificial neural networks, genetic algorithms (GAs), particle swarm optimization, etc. However, with the advancement in wireless communications, more and more mobile wireless networks appear, e.g., mobile networks [mobile ad hoc networks (MANETs)], wireless sensor networks, etc. One of the most important characteristics in mobile wireless networks is the topology dynamics, i.e., the network topology changes over time due to energy conservation or node mobility. Therefore, the SP routing problem in MANETs turns out to be a dynamic optimization problem. In this paper, we propose to use GAs with immigrants and memory schemes to solve the dynamic SP routing problem in MANETs. We consider MANETs as target systems because they represent new-generation wireless networks. The experimental results show that these immigrants and memory-based GAs can quickly adapt to environmental changes (i.e., the network topology changes) and produce high-quality solutions after each change.This work was supported by the Engineering and Physical Sciences Research Council of U.K. underGrant EP/E060722/

    Statistics Of The Burst Model At Super-critical Phase

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    We investigate the statistics of a model of type-I X-ray burst [Phys. Rev. E, {\bf 51}, 3045 (1995)] in its super-critical phase. The time evolution of the burnable clusters, places where fire can pass through, is studied using simple statistical arguments. We offer a simple picture for the time evolution of the percentage of space covered by burnable clusters. A relation between the time-average and the peak percentage of space covered by burnable clusters is also derived.Comment: 11 Pages in Revtex 3.0. Two figures available by sending request to [email protected]

    An unexpectedly low-redshift excess of Swift gamma-ray burst rate

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    Gamma-ray bursts (GRBs) are the most violent explosions in the Universe and can be used to explore the properties of high-redshift universe. It is believed that the long GRBs are associated with the deaths of massive stars. So it is possible to use GRBs to investigate the star formation rate (SFR). In this paper, we use Lynden-Bell's cc^- method to study the luminosity function and rate of \emph{Swift} long GRBs without any assumptions. We find that the luminosity of GRBs evolves with redshift as L(z)g(z)=(1+z)kL(z)\propto g(z)=(1+z)^k with k=2.430.38+0.41k=2.43_{-0.38}^{+0.41}. After correcting the redshift evolution through L0(z)=L(z)/g(z)L_0(z)=L(z)/g(z), the luminosity function can be expressed as ψ(L0)L00.14±0.02\psi(L_0)\propto L_0^{-0.14\pm0.02} for dim GRBs and ψ(L0)L00.70±0.03\psi(L_0)\propto L_0^{-0.70\pm0.03} for bright GRBs, with the break point L0b=1.43×1051 erg s1L_{0}^{b}=1.43\times10^{51}~{\rm erg~s^{-1}}. We also find that the formation rate of GRBs is almost constant at z<1.0z<1.0 for the first time, which is remarkably different from the SFR. At z>1.0z>1.0, the formation rate of GRB is consistent with the SFR. Our results are dramatically different from previous studies. Some possible reasons for this low-redshift excess are discussed. We also test the robustness of our results with Monte Carlo simulations. The distributions of mock data (i.e., luminosity-redshift distribution, luminosity function, cumulative distribution and logNlogS\log N-\log S distribution) are in good agreement with the observations. Besides, we also find that there are remarkable difference between the mock data and the observations if long GRB are unbiased tracers of SFR at z<1.0z<1.0.Comment: 33 pages, 10 figures, 1 table, accepted by ApJ

    Comment on DsDsπ0D_s^* \to D_s \pi^0 Decay

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    We calculate the rate for DsDsπ0D_s^* \rightarrow D_s \pi^0 decay using Chiral Perturbation Theory. This isospin violating process results from π0\pi^0 - η\eta mixing, and its amplitude is proportional to (mdmu)/(ms(mu+md)/2)(m_d - m_u)/\bigl(m_s-(m_u+m_d)/2 \bigr). Experimental information on the branching ratio for DsDsπ0D_s^* \rightarrow D_s \pi^0 can provide insight into the pattern of SU(3)SU(3) violation in radiative DD^* decays.Comment: 7 pages with 2 figures not included but available upon request, CALT-68-191
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