000			03282nam a22005295i 4500
001			978-3-540-32444-7
003			DE-He213
005			20161121231117.0
007			cr nn 008mamaa
008			100301s2006 gw | s |||| 0|eng d
020			_a9783540324447 _9978-3-540-32444-7
024	7		_a10.1007/3-540-32444-5 _2doi
050		4	_aTA329-348
050		4	_aTA640-643
072		7	_aTBJ _2bicssc
072		7	_aMAT003000 _2bisacsh
082	0	4	_a519 _223
100	1		_aRothlauf, Franz. _eauthor.
245	1	0	_aRepresentations for Genetic and Evolutionary Algorithms _h[electronic resource] / _cby Franz Rothlauf.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2006.
300			_aXVII, 325 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aRepresentations for Genetic and Evolutionary Algorithms -- Three Elements of a Theory of Representations -- Time-Quality Framework for a Theory-Based Analysis and Design of Representations -- Analysis of Binary Representations of Integers -- Analysis and Design of Representations for Trees -- Analysis and Design of Search Operators for Trees -- Performance of Genetic and Evolutionary Algorithms on Tree Problems -- Summary and Conclusions.
520			_aIn the field of genetic and evolutionary algorithms (GEAs), a large amount of theory and empirical study has focused on operators and test problems, while problem representation has often been taken as given. This book breaks away from this tradition and provides a comprehensive overview on the influence of problem representations on GEA performance. The book summarizes existing knowledge regarding problem representations and describes how basic properties of representations, such as redundancy, scaling, or locality, influence the performance of GEAs and other heuristic optimization methods. Using the developed theory, representations can be analyzed and designed in a theory-guided matter. The theoretical concepts are used for solving integer optimization problems and network design problems more efficiently. The book is written in an easy-to-read style and is intended for researchers, practitioners, and students who want to learn about representations. This second edition extends the analysis of the basic properties of representations and introduces a new chapter on the analysis of direct representations.
650		0	_aEngineering.
650		0	_aOperations research.
650		0	_aDecision making.
650		0	_aInformation technology.
650		0	_aBusiness _xData processing.
650		0	_aArtificial intelligence.
650		0	_aApplied mathematics.
650		0	_aEngineering mathematics.
650	1	4	_aEngineering.
650	2	4	_aAppl.Mathematics/Computational Methods of Engineering.
650	2	4	_aArtificial Intelligence (incl. Robotics).
650	2	4	_aOperation Research/Decision Theory.
650	2	4	_aIT in Business.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783540250593
856	4	0	_uhttp://dx.doi.org/10.1007/3-540-32444-5
912			_aZDB-2-ENG
950			_aEngineering (Springer-11647)
999			_c508743 _d508743