Dynamic multi‐objective optimisation of complex networks based on evolutionary computation
IET Networks, EarlyView., 2022 Abstract As the problems concerning the number of information to be optimised is increasing, the optimisation level is getting higher, the target information is more diversified, and the algorithms are becoming more complex; the traditional algorithms such as particle swarm and differential evolution are far from being able to deal with this situation ...
Linfeng Huang
wiley +1 more source
Certain Chebyshev-Type Inequalities Involving Fractional Conformable Integral Operators
Mathematics, 2019 Since an interesting functional by P.L. Chebyshev was presented in the year 1882, many results, which are called Chebyshev-type inequalities, have been established. Some of these inequalities were obtained by using fractional integral operators.
Gauhar Rahman +4 more
doaj +1 more source
Random generation of finitely generated subgroups of a free group [PDF]
, 2007 We give an efficient algorithm to randomly generate finitely generated subgroups of a given size, in a finite rank free group. Here, the size of a subgroup is the number of vertices of its representation by a reduced graph such as can be obtained by the ...
Cyril Nicaud +3 more
core +7 more sources
Moments of the Riemann zeta function on short intervals of the critical line [PDF]
, 2019 We show that as $T\to \infty$, for all $t\in [T,2T]$ outside of a set of measure $\mathrm{o}(T)$, $$ \int_{-(\log T)^{\theta}}^{(\log T)^{\theta}} |\zeta(\tfrac 12 + \mathrm{i} t + \mathrm{i} h)|^{\beta} \mathrm{d} h = (\log T)^{f_{\theta}(\beta ...
Arguin, Louis-Pierre +2 more
core +3 more sources
Counter-Flow Cooling Tower Test Cell
EPJ Web of Conferences, 2014 The article contains a design of a functional experimental model of a cross-flow mechanical draft cooling tower and the results and outcomes of measurements.
Dvořák Lukáš, Nožička Jiří
doaj +1 more source
Partial Coherence Estimation via Spectral Matrix Shrinkage under Quadratic Loss [PDF]
, 2015 Partial coherence is an important quantity derived from spectral or precision matrices and is used in seismology, meteorology, oceanography, neuroscience and elsewhere.
Schneider-Luftman, D., Walden, A. T.
core +2 more sources
Differing averaged and quenched large deviations for random walks in random environments in dimensions two and three [PDF]
, 2010 We consider the quenched and the averaged (or annealed) large deviation rate functions $I_q$ and $I_a$ for space-time and (the usual) space-only RWRE on $\mathbb{Z}^d$. By Jensen's inequality, $I_a\leq I_q$. In the space-time case, when $d\geq3+1$, $I_q$
Yilmaz, Atilla, Zeitouni, Ofer
core +3 more sources
Maximum Likelihood Estimation for Linear Gaussian Covariance Models [PDF]
, 2016 We study parameter estimation in linear Gaussian covariance models, which are $p$-dimensional Gaussian models with linear constraints on the covariance matrix.
Richards, Donald +2 more
core +1 more source
Spatial Gibbs random graphs [PDF]
, 2017 Many real-world networks of interest are embedded in physical space. We present a new random graph model aiming to reflect the interplay between the geometries of the graph and of the underlying space.
Mourrat, Jean-Christophe +1 more
core +5 more sources
From a kinetic equation to a diffusion under an anomalous scaling [PDF]
, 2013 A linear Boltzmann equation is interpreted as the forward equation for the probability density of a Markov process (K(t), i(t), Y(t)), where (K(t), i(t)) is an autonomous reversible jump process, with waiting times between two jumps with finite ...
G Basile +9 more
core +7 more sources