38,691 research outputs found

    Evolution Strategies in Optimization Problems

    Get PDF
    Evolution Strategies are inspired in biology and part of a larger research field known as Evolutionary Algorithms. Those strategies perform a random search in the space of admissible functions, aiming to optimize some given objective function. We show that simple evolution strategies are a useful tool in optimal control, permitting to obtain, in an efficient way, good approximations to the solutions of some recent and challenging optimal control problems.Comment: Partially presented at the 5th Junior European Meeting on "Control and Information Technology" (JEM'06), Sept 20-22, 2006, Tallinn, Estonia. To appear in "Proceedings of the Estonian Academy of Sciences -- Physics Mathematics

    Bouncing solutions from generalized EoS

    Full text link
    We present an exact analytical bouncing solution for a closed universe filled with only one exotic fluid with negative pressure, obeying a Generalized Equations of State (GEoS) of the form P(ρ)=Aρ+BρλP(\rho)=A\rho+B\rho^{\lambda}, where AA, BB and λ\lambda are constants. In our solution A=1/3A=-1/3 and λ=1/2\lambda=1/2 and B<0B<0 is kept as a free parameter. For particular values of the initial conditions, we obtain that our solution obeys Null Energy Condition (NEC), which allows us to reinterpret the matter source as that of a real scalar field, ϕ\phi, with a positive kinetic energy and a potential V(ϕ)V(\phi). We compute numerically the scalar field as a function of time as well as its potential V(ϕ)V(\phi), and find an analytical function for the potential that fits very accurately with the numerical results obtained. The shape of this potential can be well described by a Gaussian-type of function, and hence, there is no spontaneous symmetry minimum of V(ϕ)V(\phi). We further show that the bouncing scenario is structurally stable under small variations of the parameter AA, such that a family of bouncing solutions can be find numerically, in a small vicinity of the value A=1/3A=-1/3.Comment: 12 pages, 12 figure

    Vortex Softening: Origin of the second peak effect in Bi2_2Sr2_2CaCu2_2O8+δ_{8+\delta}

    Full text link
    Transverse ac permeability measurements in Bi2_2Sr2_2CaCu2_2O8+δ_{8+\delta } single crystals at low fields and temperatures in a vortex configuration free of external forces show that the decrease of the critical current as measured by magnetization loops at the second peak effect is an artifact due to creep. On the other hand, the increase of critical current at the second peak is due to a genuine softening of the tilting elastic properties of vortices in the individual pinning regime that precedes the transition to a disorder state.Comment: 4 pages, 5 figures, RevTex, two column versio
    corecore