000			03688nam a22005175i 4500
001			978-3-540-75771-9
003			DE-He213
005			20161121230544.0
007			cr nn 008mamaa
008			100301s2008 gw | s |||| 0|eng d
020			_a9783540757719 _9978-3-540-75771-9
024	7		_a10.1007/978-3-540-75771-9 _2doi
050		4	_aTA329-348
050		4	_aTA640-643
072		7	_aTBJ _2bicssc
072		7	_aMAT003000 _2bisacsh
082	0	4	_a519 _223
245	1	0	_aEvolutionary Computation in Practice _h[electronic resource] / _cedited by Tina Yu, Lawrence Davis, Cem Baydar, Rajkumar Roy.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2008.
300			_aXIV, 322 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 ; _v88
505	0		_aAn Introduction to Evolutionary Computation in Practice -- Design for Product Embedded Disassembly -- Multi-Level Decomposition for Tractability in Structural Design Optimization -- Representing the Change - Free Form Deformation for Evolutionary Design Optimization -- Evolving Microstructured Optical Fibres -- Making Interactive Evolutionary Graphic Design Practical -- Optimization of Store Performance Using Personalized Pricing -- A Computational Intelligence Approach to Railway Track Intervention Planning -- A Co-Evolutionary Fuzzy System for Reservoir Well Logs Interpretation -- Resource Scheduling with Permutation Based Representations: Three Applications -- Evolutionary Computation in the Chemical Industry -- Technology Transfer: Academia to Industry -- A Survey of Practitioners of Evolutionary Computation -- Evolutionary Computation Applications: Twelve Lessons Learned -- Evolutionary Computation at American Air Liquide.
520			_aThis book is loaded with examples in which computer scientists and engineers have used evolutionary computation—programs that mimic natural evolution—to solve real problems. They aren’t abstract, mathematically intensive papers, but accounts of solving important problems, including tips from the authors on how to avoid common pitfalls, maximize the effectiveness and efficiency of the search process, and many other practical suggestions. Some of the authors have already won "Humies"—Human Competitive Results Awards—for the work described in this book. I highly recommend it as a highly concentrated source of good problem-solving approaches that are applicable to many real-world problems. --Erik Goodman, Vice President, Red Cedar Technology, Inc.; Professor, Electrical & Computer Engineering, Michigan State University; and Founding Chair, ACM SIGEVO, the Special Interest Group on Genetic and Evolutionary Computation of the Association for Computing Machinery.
650		0	_aEngineering.
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).
700	1		_aYu, Tina. _eeditor.
700	1		_aDavis, Lawrence. _eeditor.
700	1		_aBaydar, Cem. _eeditor.
700	1		_aRoy, Rajkumar. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783540757702
830		0	_aStudies in Computational Intelligence, _x1860-949X ; _v88
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-540-75771-9
912			_aZDB-2-ENG
950			_aEngineering (Springer-11647)
999			_c500517 _d500517