000 03170nam a22005415i 4500
001 978-3-540-29938-7
003 DE-He213
005 20160302161712.0
007 cr nn 008mamaa
008 100301s2005 gw | s |||| 0|eng d
020 _a9783540299387
_9978-3-540-29938-7
024 7 _a10.1007/3-540-29938-6
_2doi
050 4 _aQA76.6-76.66
072 7 _aUM
_2bicssc
072 7 _aCOM051000
_2bisacsh
082 0 4 _a005.11
_223
100 1 _aTomassini, Marco.
_eauthor.
245 1 0 _aSpatially Structured Evolutionary Algorithms
_h[electronic resource] :
_bArtificial Evolution in Space and Time /
_cby Marco Tomassini.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2005.
300 _aXIII, 193 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aNatural Computing Series,
_x1619-7127
505 0 _aSetting the Stage for Structured Populations -- Island Models -- Island Models: Empirical Properties -- Lattice Cellular Models -- Lattice Cellular Models: Empirical Properties -- Random and Irregular Cellular Populations -- Coevolutionary Structured Models -- Some Nonconventional Models.
520 _aEvolutionary algorithms (EAs) is now a mature problem-solving family of heuristics that has found its way into many important real-life problems and into leading-edge scientific research. Spatially structured EAs have different properties than standard, mixing EAs. By virtue of the structured disposition of the population members they bring about new dynamical features that can be harnessed to solve difficult problems faster and more efficiently. This book describes the state of the art in spatially structured EAs by using graph concepts as a unifying theme. The models, their analysis, and their empirical behavior are presented in detail. Moreover, there is new material on non-standard networked population structures such as small-world networks. The book should be of interest to advanced undergraduate and graduate students working in evolutionary computation, machine learning, and optimization. It should also be useful to researchers and professionals working in fields where the topological structures of populations and their evolution plays a role.
650 0 _aComputer science.
650 0 _aComputer programming.
650 0 _aComputers.
650 0 _aAlgorithms.
650 0 _aNumerical analysis.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aProgramming Techniques.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aTheory of Computation.
650 2 4 _aComputation by Abstract Devices.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
650 2 4 _aNumeric Computing.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540241935
830 0 _aNatural Computing Series,
_x1619-7127
856 4 0 _uhttp://dx.doi.org/10.1007/3-540-29938-6
912 _aZDB-2-SCS
999 _c174145
_d174145