| Record ID | ia:geneticalgorithm00lawr |
| Source | Internet Archive |
| Download MARC XML | https://archive.org/download/geneticalgorithm00lawr/geneticalgorithm00lawr_marc.xml |
| Download MARC binary | https://www.archive.org/download/geneticalgorithm00lawr/geneticalgorithm00lawr_meta.mrc |
LEADER: 04846cam 2200913 a 4500
001 ocm16355405
003 OCoLC
005 20160202031207.0
008 870720s1987 enka b 000 0 eng
010 $a 87021357
040 $aDLC$beng$cDLC$dUKM$dMUQ$dUMC$dNLGGC$dBTCTA$dYDXCP$dBAKER$dOCLCG$dNLE$dZWZ$dMCW$dGBVCP$dOCLCF$dOCLCQ
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019 $a15549471$a490147088$a876858889
020 $a0934613443$q(Morgan Kaufmann :$qpbk.)
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035 $a(OCoLC)16355405$z(OCoLC)15549471$z(OCoLC)490147088$z(OCoLC)876858889
050 00 $aQA402.5$b.G454 1987
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245 00 $aGenetic algorithms and simulated annealing /$cedited by Lawrence Davis.
260 $aLondon :$bPitman ;$aLos Altos, Calif. :$bMorgan Kaufmann Publishers,$c1987.
300 $a216 pages :$billustrations ;$c25 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
490 1 $aResearch notes in artificial intelligence,$x0268-7526
504 $aIncludes bibliographical references (pages 205-216).
505 00 $tGenetic algorithms and simulated annealing: an overview /$rLawrence Davis and Martha Steenstrup --$tSolving a complex keyboard configuration problem through generalized adaptive search /$rDavid E. Glover --$tThe evolution of strategies in the iterated prisoner's dilemma /$rRobert Axelrod --$tIncorporating problem specific knowledge into genetic algorithms /$rJohn J. Grefenstette --$tImproving search in genetic algorithms /$rLashon Booker --$tSimple genetic algorithms and the minimal, deceptive problem /$rDavid E. Goldberg --$tSome effects of selection procedures on hyperplane sampling by genetic algorithms /$rJ. David Schaffer --$tHierarchical credit allocation in a classifier system /$rStewart W. Wilson --$tClassifier systems, Q-morphisms, and induction /$rJohn H. Holland, Keith J. Holyoak, Richard E. Nisbett and Paul R. Thagard --$tParallel implementation of genetic algorithms in a classifier system /$rGeorge Robertson --$tParsing as an energy minimization problem /$rBart Selman and Graeme Hirst --$tPattern matching and variable binding in a stochastic neural network /$rDavid S. Touretzky and Geoffrey E. Hinton --$tAn empirical study of bit vector function optimization /$rDavid H. Ackley.
530 $aAlso issued online.
650 0 $aGenetic algorithms.
650 0 $aSimulated annealing (Mathematics)
650 4 $arecuit simule
650 4 $aalgorithme re solution proble me.
650 4 $asyste me classification.
650 4 $aalgorithme ge ne tique.
650 4 $aintelligence artificielle.
650 4 $athermodynamique.
650 4 $aoptimisation combinatoire.
650 4 $asemiconducteur.
650 6 $aAlgorithmes ge ne tiques.
650 6 $aRecuit simule
650 7 $aGenetic algorithms.$2fast$0(OCoLC)fst00939996
650 7 $aSimulated annealing (Mathematics)$2fast$0(OCoLC)fst01119152
650 7 $aIntelligence artificielle.$2ram
650 7 $aAlgorithmes ge ne tiques.$2ram
650 7 $aRecuit simule (mathe matiques)$2ram
650 7 $aOptimisation combinatoire.$2ram
653 $aMathematics$aCombinatorial optimisation$aAlgorithms
700 1 $aDavis, Lawrence,$d1946-
776 08 $iOnline version:$tGenetic algorithms and simulated annealing.$dLondon : Pitman ; Los Altos, Calif. : Morgan Kaufmann Publishers, 1987$w(OCoLC)572309109
830 0 $aResearch notes in artificial intelligence (London, England)
856 42 $uhttp://www.zentralblatt-math.org/zmath/en/search/?an=0684.68013$3Inhaltstext
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