30,506 research outputs found
Meta-heuristic algorithms in car engine design: a literature survey
Meta-heuristic algorithms are often inspired by natural phenomena, including the evolution of species in Darwinian natural selection theory, ant behaviors in biology, flock behaviors of some birds, and annealing in metallurgy. Due to their great potential in solving difficult optimization problems, meta-heuristic algorithms have found their way into automobile engine design. There are different optimization problems arising in different areas of car engine management including calibration, control system, fault diagnosis, and modeling. In this paper we review the state-of-the-art applications of different meta-heuristic algorithms in engine management systems. The review covers a wide range of research, including the application of meta-heuristic algorithms in engine calibration, optimizing engine control systems, engine fault diagnosis, and optimizing different parts of engines and modeling. The meta-heuristic algorithms reviewed in this paper include evolutionary algorithms, evolution strategy, evolutionary programming, genetic programming, differential evolution, estimation of distribution algorithm, ant colony optimization, particle swarm optimization, memetic algorithms, and artificial immune system
In-plane thermal conductivity of large single crystals of Sm-substituted (YSm)BaCuO
We have investigated the in-plane thermal conductivity of
large single crystals of optimally oxygen-doped
(Y,Sm)BaCuO (=0, 0.1, 0.2 and 1.0)
and YBa(CuZn)O(=0.0071) as functions
of temperature and magnetic field (along the c axis). For comparison, the
temperature dependence of for as-grown crystals with the
corresponding compositions are presented.
The nonlinear field dependence of for all crystals was observed
at relatively low fields near a half of . We make fits of the
data to an electron contribution model, providing both the mean
free path of quasiparticles and the electronic thermal conductivity
, in the absence of field. The local lattice distortion due to the
Sm substitution for Y suppresses both the phonon and electron contributions. On
the other hand, the light Zn doping into the CuO planes affects solely
the electron component below , resulting in a substantial decrease in
.Comment: 7 pages,4 figures,1 tabl
Reply to Comment on "Quantum phase transition in the four-spin exchange antiferromagnet"
We argue that our analysis of the J-Q model, presented in Phys. Rev. B 80,
174403 (2009), and based on a field-theory description of coupled dimers,
captures properly the strong quantum fluctuations tendencies, and the
objections outlined by L. Isaev, G. Ortiz, and J. Dukelsky, arXiv:1003.5205,
are misplaced
Time-odd triaxial relativistic mean field approach for nuclear magnetic moments
The time-odd triaxial relativistic mean field approach is developed and
applied to the investigation of the ground-state properties of light odd-mass
nuclei near the double-closed shells. The nuclear magnetic moments including
the isoscalar and isovector ones are calculated and good agreement with Schmidt
values is obtained. Taking F as an example, the splitting of the single
particle levels (around MeV near the Fermi level), the nuclear current,
the core polarizations, and the nuclear magnetic potential, i.e., the spatial
part of the vector potential, due to the violation of the time reversal
invariance are investigated in detail.Comment: 26 pages, 8 figures. PHYSICAL REVIEW C (accepted
Recommended from our members
Fluid drag-reducing effect and mechanism of superhydrophobic
This paper was presented at the 4th Micro and Nano Flows Conference (MNF2014), which was held at University College, London, UK. The conference was organised by Brunel University and supported by the Italian Union of Thermofluiddynamics, IPEM, the Process Intensification Network, the Institution of Mechanical Engineers, the Heat Transfer Society, HEXAG - the Heat Exchange Action Group, and the Energy Institute, ASME Press, LCN London Centre for Nanotechnology, UCL University College London, UCL Engineering, the International NanoScience Community, www.nanopaprika.eu.In this paper, drag-reducing property and mechanism of superhydrophobic surface are investigated.
Superhydrophobic surfaces with micro-nano textures were fabricated and tested using SEM and contact
angle measurement. Experiments on a channel and a flat plate with superhydrophobic surface were
conducted separately. For the channel flow, the drag was acquired by measuring the pressure loss. A 54%
drag reduction was found both in laminar and turbulent flow over Re range from 500 to 5000. For flow over
a plate, PIV measurement was used to obtain the velocity distribution at Reδ=12000. There was a 19%
reduction on the total stress in the whole boundary layer. Suppressions of the turbulence intensities and the
Reynolds shear stress were found, which may cause the drag reduction
Edge states and topological orders in the spin liquid phases of star lattice
A group of novel materials can be mapped to the star lattice, which exhibits
some novel physical properties. We give the bulk-edge correspondence theory of
the star lattice and study the edge states and their topological orders in
different spin liquid phases. The bulk and edge-state energy structures and
Chern number depend on the spin liquid phases and hopping parameters because
the local spontaneous magnetic flux in the spin liquid phase breaks the time
reversal and space inversion symmetries. We give the characteristics of bulk
and edge energy structures and their corresponding Chern numbers in the
uniform, nematic and chiral spin liquids. In particular, we obtain analytically
the phase diagram of the topological orders for the chiral spin liquid states
SL[\phi,\phi,-2\phi], where \phi is the magnetic flux in two triangles and a
dodecagon in the unit cell. Moreover, we find the topological invariance for
the spin liquid phases, SL[\phi_{1},\phi_{2},-(\phi_{1}+\phi_{2})] and
SL[\phi_{2},\phi_{1},-(\phi_{1}+\phi_{2})]. The results reveal the relationship
between the energy-band and edge-state structures and their topological orders
of the star lattice.Comment: 7 pages, 8 figures, 1 tabl
Nanodot-Cavity Electrodynamics and Photon Entanglement
Quantum electrodynamics of excitons in a cavity is shown to be relevant to
quantum operations. We present a theory of an integrable solid-state quantum
controlled-phase gate for generating entanglement of two photons using a
coupled nanodot-microcavity-fiber structure. A conditional phase shift of
is calculated to be the consequence of the giant optical
nonlinearity keyed by the excitons in the cavities. Structural design and
active control, such as electromagnetic induced transparency and pulse shaping,
optimize the quantum efficiency of the gate operation.Comment: 4 pages 3 figure
Charge transport and electron-hole asymmetry in low-mobility graphene/hexagonal boron nitride heterostructures
Graphene/hexagonal boron nitride (G/-BN) heterostructures offer an
excellent platform for developing nanoelectronic devices and for exploring
correlated states in graphene under modulation by a periodic superlattice
potential. Here, we report on transport measurements of nearly
-twisted G/-BN heterostructures. The heterostructures
investigated are prepared by dry transfer and thermally annealing processes and
are in the low mobility regime (approximately
at 1.9 K). The replica
Dirac spectra and Hofstadter butterfly spectra are observed on the hole
transport side, but not on the electron transport side, of the
heterostructures. We associate the observed electron-hole asymmetry to the
presences of a large difference between the opened gaps in the conduction and
valence bands and a strong enhancement in the interband contribution to the
conductivity on the electron transport side in the low-mobility G/-BN
heterostructures. We also show that the gaps opened at the central Dirac point
and the hole-branch secondary Dirac point are large, suggesting the presence of
strong graphene-substrate interaction and electron-electron interaction in our
G/-BN heterostructures. Our results provide additional helpful insight into
the transport mechanism in G/-BN heterostructures.Comment: 7 pages, 4 figure
Benchmark generator for CEC 2009 competition on dynamic optimization
Evolutionary algorithms(EAs) have been widely applied to solve stationary optimization problems. However, many real-world applications are actually dynamic. In order to study the performance of EAs in dynamic environments, one important task is to develop proper dynamic benchmark problems. Over the years, researchers have applied a number of dynamic test problems to compare the performance of EAs in dynamic environments, e.g., the “moving peaks ” benchmark (MPB) proposed by Branke [1], the DF1 generator introduced by Morrison and De Jong [6], the singleand multi-objective dynamic test problem generator by dynamically combining different objective functions of exiting stationary multi-objective benchmark problems suggested by Jin and Sendhoff [2], Yang and Yao’s exclusive-or (XOR) operator [10, 11, 12], Kang’s dynamic traveling salesman problem (DTSP) [3] and dynamic multi knapsack problem (DKP), etc. Though a number of DOP generators exist in the literature, there is no unified approach of constructing dynamic problems across the binary space, real space and combinatorial space so far. This report uses the generalized dynamic benchmark generator (GDBG) proposed in [4], which construct dynamic environments for all the three solution spaces. Especially, in the rea
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