000 02969nam a22004455i 4500
999 _c200434308
_d52520
003 DE-He213
005 20231104114345.0
007 cr nn 008mamaa
008 151127s2015 gw | s |||| 0|eng d
020 _a9783319074078
_z978-3-319-07407-8
024 7 _a10.1007/978-3-319-07407-8
_2doi
040 _aTR-AnTOB
_beng
_cTR-AnTOB
_erda
050 4 _aQA76.9.A43
072 7 _aUMB
_2bicssc
072 7 _aCOM051300
_2bisacsh
072 7 _aUMB
_2thema005.1
_223
100 1 _aPreuss, Mike.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aMultimodal Optimization by Means of Evolutionary Algorithms /
_cby Mike Preuss.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _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 software.
650 0 _aEngineering.
650 0 _aMathematical optimization.
650 1 4 _aAlgorithm Analysis and Problem Complexity.
_0http://scigraph.springernature.com/things/product-market-codes/I16021
650 2 4 _aComputational Intelligence.
_0http://scigraph.springernature.com/things/product-market-codes/T11014
650 2 4 _aOptimization.
_0http://scigraph.springernature.com/things/product-market-codes/M26008
710 2 _aSpringerLink (Online service)
856 4 0 _uhttps://doi.org/10.1007/978-3-319-07407-8
_3Springer eBooks
_zOnline access link to the resource
942 _2lcc
_cEBK
041 _aeng