000			02884nam a22004935i 4500
001			978-3-319-07407-8
003			DE-He213
005			20200421111853.0
007			cr nn 008mamaa
008			151127s2015 gw | s |||| 0|eng d
020			_a9783319074078 _9978-3-319-07407-8
024	7		_a10.1007/978-3-319-07407-8 _2doi
050		4	_aQA76.9.A43
072		7	_aUMB _2bicssc
072		7	_aCOM051300 _2bisacsh
082	0	4	_a005.1 _223
100	1		_aPreuss, Mike. _eauthor.
245	1	0	_aMultimodal Optimization by Means of Evolutionary Algorithms _h[electronic resource] / _cby Mike Preuss.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015.
300			_aXX, 189 p. 42 illus., 5 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aNatural Computing Series, _x1619-7127
505	0		_aIntroduction: Towards Multimodal Optimization -- Experimentation in Evolutionary Computation -- Groundwork for Niching -- Nearest-Better Clustering -- Niching Methods and Multimodal Optimization Performance -- Nearest-Better Based Niching.
520			_aThis book offers the first comprehensive taxonomy for multimodal optimization algorithms, work with its root in topics such as niching, parallel evolutionary algorithms, and global optimization. The author explains niching in evolutionary algorithms and its benefits; he examines their suitability for use as diagnostic tools for experimental analysis, especially for detecting problem (type) properties; and he measures and compares the performances of niching and canonical EAs using different benchmark test problem sets. His work consolidates the recent successes in this domain, presenting and explaining use cases, algorithms, and performance measures, with a focus throughout on the goals of the optimization processes and a deep understanding of the algorithms used. The book will be useful for researchers and practitioners in the area of computational intelligence, particularly those engaged with heuristic search, multimodal optimization, evolutionary computing, and experimental analysis.
650		0	_aComputer science.
650		0	_aAlgorithms.
650		0	_aMathematical optimization.
650		0	_aComputational intelligence.
650	1	4	_aComputer Science.
650	2	4	_aAlgorithm Analysis and Problem Complexity.
650	2	4	_aComputational Intelligence.
650	2	4	_aOptimization.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319074061
830		0	_aNatural Computing Series, _x1619-7127
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-07407-8
912			_aZDB-2-SCS
942			_cEBK
999			_c56269 _d56269