000 | 03631nam a22005055i 4500 | ||
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_c200434347 _d52559 |
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003 | DE-He213 | ||
005 | 20231104114352.0 | ||
007 | cr nn 008mamaa | ||
008 | 150701s2015 gw | s |||| 0|eng d | ||
020 |
_a9783662448748 _z978-3-662-44874-8 |
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024 | 7 |
_a10.1007/978-3-662-44874-8 _2doi |
|
040 |
_aTR-AnTOB _beng _cTR-AnTOB _erda |
||
050 | 4 | _aQ334-342 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
072 | 7 |
_aUYQ _2thema006.3 _223 |
|
100 | 1 |
_aEiben, A.E. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
245 | 1 | 0 |
_aIntroduction to Evolutionary Computing / _cby A.E. Eiben, J.E. Smith. |
250 | _a2nd ed. 2015. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2015. |
|
300 | _a1 online resource | ||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 0 |
_aNatural Computing Series, _x1619-7127 |
|
505 | 0 | _aProblems to Be Solved -- Evolutionary Computing: The Origins -- What Is an Evolutionary Algorithm? -- Representation, Mutation, and Recombination -- Fitness, Selection, and Population Management -- Popular Evolutionary Algorithm Variants -- Hybridisation with Other Techniques: Memetic Algorithms -- Nonstationary and Noisy Function Optimisation -- Multiobjective Evolutionary Algorithms -- Constraint Handling -- Interactive Evolutionary Algorithms -- Coevolutionary Systems -- Theory -- Evolutionary Robotics -- Parameters and Parameter Tuning -- Parameter Control -- Working with Evolutionary Algorithms -- References. | |
520 | _aThe overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, a chapter on parameter tuning, which they combined with the parameter control and "how-to" chapters into a methodological part, and finally a chapter on evolutionary robotics with an outlook on possible exciting developments in this field. The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization. | ||
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aEngineering. | |
650 | 0 | _aInformation theory. | |
650 | 0 | _aMathematical optimization. | |
650 | 1 | 4 |
_aArtificial Intelligence. _0http://scigraph.springernature.com/things/product-market-codes/I21000 |
650 | 2 | 4 |
_aComputational Intelligence. _0http://scigraph.springernature.com/things/product-market-codes/T11014 |
650 | 2 | 4 |
_aTheory of Computation. _0http://scigraph.springernature.com/things/product-market-codes/I16005 |
650 | 2 | 4 |
_aRobotics and Automation. _0http://scigraph.springernature.com/things/product-market-codes/T19020 |
650 | 2 | 4 |
_aOptimization. _0http://scigraph.springernature.com/things/product-market-codes/M26008 |
700 | 1 |
_aSmith, J.E. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
710 | 2 | _aSpringerLink (Online service) | |
856 | 4 | 0 |
_uhttps://doi.org/10.1007/978-3-662-44874-8 _3Springer eBooks _zOnline access link to the resource |
942 |
_2lcc _cEBK |
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041 | _aeng |