Zobrazeno 1 - 10
of 159
pro vyhledávání: '"VRAHATIS, M. N."'
Publikováno v:
Mon.Not.Roy.Astron.Soc. 359 (2005) 251-260
We propose the Particle Swarm Optimization (PSO) as an alternative method for locating periodic orbits in a three--dimensional (3D) model of barred galaxies. We develop an appropriate scheme that transforms the problem of finding periodic orbits into
Externí odkaz:
http://arxiv.org/abs/astro-ph/0502164
Publikováno v:
J.Phys.A37:6269-6284,2004
We use the Smaller Alignment Index (SALI) to distinguish rapidly and with certainty between ordered and chaotic motion in Hamiltonian flows. This distinction is based on the different behavior of the SALI for the two cases: the index fluctuates aroun
Externí odkaz:
http://arxiv.org/abs/nlin/0404058
Autor:
Tanabe, S., Vrahatis, M. N.
A problem concerning the shift of roots of a system of homogeneous algebraic equations is investigated. Its conservation and decomposition of a multiple root into simple roots are discussed.
Comment: 15 pages
Comment: 15 pages
Externí odkaz:
http://arxiv.org/abs/math/0310419
The ability of the Smaller Alignment Index (SALI) to distinguish chaotic from ordered motion, has been demonstrated recently in several publications.\cite{Sk01,GRACM} Basically it is observed that in chaotic regions the SALI goes to zero very rapidly
Externí odkaz:
http://arxiv.org/abs/nlin/0301035
We consider methods based on the topological degree theory to compute periodic orbits of area preserving maps. Numerical approximations of the Kronecker integral and the application of Stenger's method allows us to compute the value of the topologica
Externí odkaz:
http://arxiv.org/abs/nlin/0211044
We apply the smaller alignment index (SALI) method for distinguishing between ordered and chaotic motion in some simple conservative dynamical systems. In particular we compute the SALI for ordered and chaotic orbits in a 2D and a 4D symplectic map,
Externí odkaz:
http://arxiv.org/abs/nlin/0210053
Autor:
Magoulas, G. D., Vrahatis, M. N.
Publikováno v:
Neural Computation. 10/01/99, Vol. 11 Issue 7, p1769. 28p. 7 Charts, 4 Graphs.
We present MEMPSODE, a global optimization software tool that integrates two prominent population-based stochastic algorithms, namely Particle Swarm Optimization and Differential Evolution, with well established efficient local search procedures made
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10561::3577cb530c3c73c387f6ba27fbf80f06
http://olympias.lib.uoi.gr/jspui/handle/123456789/14178
http://olympias.lib.uoi.gr/jspui/handle/123456789/14178
Fuzzy cognitive maps constitute a neuro-fuzzy modeling methodology that can simulate complex systems accurately. Although their configuration is defined by experts, learning schemes based on evolutionary and swarm intelligence algorithms have been em
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10561::e45828c360114e509e368f77aa4dbd9f
http://olympias.lib.uoi.gr/jspui/handle/123456789/11020
http://olympias.lib.uoi.gr/jspui/handle/123456789/11020
30-44 σ. Learning and Intelligent Optimization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10561::871fb34d7843758babe3229ddc6afce9
http://olympias.lib.uoi.gr/jspui/handle/123456789/26774
http://olympias.lib.uoi.gr/jspui/handle/123456789/26774