000			04367nmm a22005535i 4500
999			_c44323 _d44323
001			ssj0001008126
003			WaSeSS
005			20221006110055.0
006			m d
007			cr n
008			121227s1999 xxk| s |||| 0|eng d
020			_a9781447105770
020			_a9781852330729 (print)
024	7		_a10.1007/978-1-4471-0577-0 _2doi
040			_dWaSeSS _cAfrica University
049			_aQEMP
050		4	_aQA76.9 MAN 1999
072		7	_aTJFM _2bicssc
072		7	_aTEC004000 _2bisacsh
100	1		_aMan, K. F.
245	1	0	_aGenetic Algorithms _h[electronic resource] : _bConcepts and Designs / _cby K. F. Man, K. S. Tang, S. Kwong.
260			_aLondon : _bSpringer London : _bImprint: Springer, _c1999.
300			_aXII, 344 p. _bonline resource.
347			_atext file _bPDF _2rda.
490	1		_aAdvanced Textbooks in Control and Signal Processing, _x1439-2232.
505	0		_aIntroduction, Background and Biological Inspiration -- Modifications to Genetic Algorithms -- Intrinsic Characteristics -- Hierarchical Genetic Algorithm -- Genetic Algorithms in Filtering -- Genetic Algorithms in H-infinity Control -- Hierarchical Genetic Algorithms in Computational Intelligence -- Genetic Algorithms in Speech Recognition Systems -- Genetic Algorithms in Production Planning and Scheduling Problems -- Genetic Algorithms in Communication Systems -- Appendices: Least Mean Square Time Delay Estimation; Constrained LMS Algorithm; Linear Distributed Random Generator; Multiplication Algorithm; Digital IIR Filter Designs; Development Tools.
520			_aThe practical application of genetic algorithms to the solution of engineering problems, has rapidly become an established approach in the fields of control and signal processing. Genetic Algorithms provides comprehensive coverage of the techniques involved, describing the intrinsic characteristics, advantages and constraints of genetic algorithms, as well as discussing genetic operations such as crossover, mutation and reinsertion. In addition, the principle of multiobjective optimization and computing parallelism are discussed. The use of genetic algorithms in many areas of interest in control and signal processing is detailed; among the areas of application are: - filtering; - H-infinity control; - speech recognition; - production planning and scheduling; - computational intelligence; and - communication systems. Also described is an original hierarchical genetic algorithm designed to address the problems in determining system topology. The authors provide "A Game of Genetic Creatures", a fundamental study for GA based on computer-generated insects to demonstrate some of the ideas developed in the text as a download available from www.springer.com/1-85233-072-4. This superb book is suitable for readers from a wide range of disciplines. Assembly Automation This is a well-written engineering textbook. Genetic algorithms are properly explained and well motivated. The engineering examples illustrate the power of application of genetic algorithms. Journal of the American Statistical Association The book is a good contribution to the genetic algorithm area from an applied point of view. It should be read by engineers, undergraduate or postgraduate students and researchers. International Journal of Adaptive Control and Signal Processing.
650		0	_aEngineering.
650		0	_aComputer software.
650		0	_aPhysics.
650		0	_aIndustrial engineering.
650		0	_aTelecommunication.
650	1	4	_aEngineering.
650	2	4	_aControl.
650	2	4	_aSignal, Image and Speech Processing.
650	2	4	_aIndustrial and Production Engineering.
650	2	4	_aAlgorithm Analysis and Problem Complexity.
650	2	4	_aComplexity.
650	2	4	_aCommunications Engineering, Networks.
655		0	_aElectronic books.
700	1		_aTang, K. S.
700	1		_aKwong, S.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks.
776	0	8	_iPrinted edition: _z9781852330729.
830		0	_aAdvanced Textbooks in Control and Signal Processing, _x1439-2232.
856	4	0	_uhttp://ezproxy.msu.edu/login?url=https://ebookcentral.proquest.com/lib/michstate-ebooks/detail.action?docID=3073392 _zConnect to online resource via Ebook Central - Academic Complete - MSU authorized users
942			_2lcc _cBK MNGCL