000			03463nam a2200553 i 4500
001			6276849
003			IEEE
005			20190220121649.0
006			m o d
007			cr |n|||||||||
008			151229s1995 maua ob 001 eng d
010			_z 95000240 (print)
020			_a9780262290920 _qelectronic
020			_z9780262133173 _qprint
020			_z0262133172 _qhc : alk. paper
035			_a(CaBNVSL)mat06276849
035			_a(IDAMS)0b000064818c1f8c
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aQA76.618 _b.C66 1995eb
082	0	0	_a006.3 _220
111	2		_aConference on Evolutionary Programming _n(4th : _d1995 : _cSan Diego, Calif.)
245	1	0	_aEvolutionary programming IV : _bproceedings of the Fourth Annual Conference on Evolutionary Programming / _cedited by John R. McDonnell, Robert G. Reynolds, and David B. Fogel.
246	3		_aEvolutionary programming 4
246	3		_aEvolutionary programming four
264		1	_aCambridge, Massachusetts : _bMIT Press, _cc1995.
264		2	_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[1995]
300			_a1 PDF (xx, 805 pages) : _billustrations.
336			_atext _2rdacontent
337			_aelectronic _2isbdmedia
338			_aonline resource _2rdacarrier
490	1		_aComplex adaptive systems
500			_a"A Bradford book."
504			_aIncludes bibliographical references and index.
506	1		_aRestricted to subscribers or individual electronic text purchasers.
520			_aMarch 1-3, 1995, San Diego, California Evolutionary programming is one of the predominate algorithms withing the rapidly expanding field of evolutionary computation. These edited contributions to the Fourth Annual Conference on Evolutionary Programming are by leading scientists from academia, industry, and defense. The papers describe both the theory and practical application of evolutionary programming, as well as other methods of evolutionary computation including evolution strategies, genetic algorithms, genetic programming, and cultural algorithms.Topics include :- Novel Areas of Evolutionary Programming and Evolution Strategies.- Evolutionary Computation with Medical Applications.- Issues in Evolutionary Optimization Pattern Discovery, Pattern Recognition, and System Identification.- Hierarchical Levels of Learning.- Self-Adaptation in Evolutionary Computation.- Morphogenic Evolutionary Computation.- Issues in Evolutionary Optimization.- Evolutionary Applications to VLSI and Part Placement.- Applications of Evolutionary Computation to Biology and Biochemistry Control.- Applications of Evolutionary Computation.- Genetic and Inductive Logic Programming.- Genetic Neural Networks.- The Future of Evolutionary Computation.A Bradford Book. Complex Adaptive Systems series.
530			_aAlso available in print.
538			_aMode of access: World Wide Web
588			_aDescription based on PDF viewed 12/29/2015.
650		0	_aEvolutionary programming (Computer science) _xCongresses.
655		0	_aElectronic books.
700	1		_aMcDonnell, John R. _q(John Robert), _d1962-
700	1		_aReynolds, Robert G.
700	1		_aFogel, David B.
710	2		_aIEEE Xplore (Online Service), _edistributor.
710	2		_aMIT Press, _epublisher.
776	0	8	_iPrint version: _z9780262133173
830		0	_aComplex adaptive systems
856	4	2	_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6276849
999			_c39504 _d39504