000 03312nam a22004935i 4500
001 978-3-642-23247-3
003 DE-He213
005 20140220083301.0
007 cr nn 008mamaa
008 111028s2012 gw | s |||| 0|eng d
020 _a9783642232473
_9978-3-642-23247-3
024 7 _a10.1007/978-3-642-23247-3
_2doi
050 4 _aTA329-348
050 4 _aTA640-643
072 7 _aTBJ
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
100 1 _aNeri, Ferrante.
_eeditor.
245 1 0 _aHandbook of Memetic Algorithms
_h[electronic resource] /
_cedited by Ferrante Neri, Carlos Cotta, Pablo Moscato.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2012.
300 _aXXVI, 370 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Computational Intelligence,
_x1860-949X ;
_v379
505 0 _aPart I Foundations -- Part II Methodology -- Part III Applications -- Part IV Epilogue.
520 _aMemetic Algorithms (MAs) are computational intelligence structures combining multiple and various operators in order to address optimization problems.  The combination and interaction amongst operators evolves and promotes the diffusion of the most successful units and generates an algorithmic behavior which can handle complex objective functions and hard fitness landscapes.   “Handbook of Memetic Algorithms” organizes, in a structured way, all the the most important results in the field of MAs since their earliest definition until now.  A broad review including various algorithmic solutions as well as successful applications is included in this book. Each class of optimization problems, such as constrained optimization, multi-objective optimization, continuous vs combinatorial problems, uncertainties, are analysed separately and, for each problem,  memetic recipes for tackling the difficulties are given with some successful examples. Although this book contains chapters written by multiple authors, a great attention has been given by the editors to make it a compact and smooth work which covers all the main areas of computational intelligence optimization. It is not only a necessary read for researchers working in the research area, but also a useful handbook for practitioners and engineers who need to address real-world optimization problems. In addition, the book structure makes it an interesting work also for graduate students and researchers is related fields of mathematics and computer science.  
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aEngineering mathematics.
650 1 4 _aEngineering.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aCotta, Carlos.
_eeditor.
700 1 _aMoscato, Pablo.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642232466
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v379
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-23247-3
912 _aZDB-2-ENG
999 _c102146
_d102146