LEADER 00743nam0-22002771i-450- 001 990003660160403321 005 20001010 035 $a000366016 035 $aFED01000366016 035 $a(Aleph)000366016FED01 035 $a000366016 100 $a20000920d1934----km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aCattolicesimo e protestantesimo$fAminto re Fanfani 210 $aMilano$cs.e$d1934 300 $avol. 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Adams Mayor. 300 $aAnnotation on Thomason copy: "May 5th". 300 $aReproduction of the original in the British Library. 330 $aeebo-0018 606 $aSunday$vEarly works to 1800 606 $aSwearing$zEngland$vEarly works to 1800 606 $aDrunkenness (Criminal law)$zEngland$vEarly works to 1800 606 $aGambling$xLaw and legislation$zEngland$vEarly works to 1800 615 0$aSunday 615 0$aSwearing 615 0$aDrunkenness (Criminal law) 615 0$aGambling$xLaw and legislation 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bCStRLIN 801 2$bWaOLN 906 $aBOOK 912 $a996392614903316 996 $aA vvhip for a drunkard, and a curbe for prophanesse$92372421 997 $aUNISA LEADER 05169nam 22008055 450 001 9910143453303321 005 20251116233942.0 010 $a3-540-69758-6 024 7 $a10.1007/BFb0055923 035 $a(CKB)1000000000210915 035 $a(SSID)ssj0000323460 035 $a(PQKBManifestationID)11237071 035 $a(PQKBTitleCode)TC0000323460 035 $a(PQKBWorkID)10300091 035 $a(PQKB)10507490 035 $a(DE-He213)978-3-540-69758-9 035 $a(PPN)155206079 035 $a(EXLCZ)991000000000210915 100 $a20121227d1998 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aGenetic Programming $eFirst European Workshop, EuroGP'98, Paris, France, April 14-15, 1998, Proceedings /$fedited by Wolfgang Banzhaf, Riccardo Poli, Marc Schoenauer, Terence C. Fogarty 205 $a1st ed. 1998. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1998. 215 $a1 online resource (X, 238 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v1391 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-64360-5 327 $aA review of theoretical and experimental results on schemata in genetic programming -- Where does the good stuff go, and why? how contextual semantics influences program structure in simple genetic programming -- Fitness causes bloat: Mutation -- Concepts of inductive genetic programming -- Immediate transfer of global improvements to all individuals in a population compared to automatically defined functions for the EVEN-5,6-PARITY problems -- Non-destructive depth-dependent crossover for genetic programming -- Grammatical evolution: Evolving programs for an arbitrary language -- Genetic programming bloat with dynamic fitness -- Speech sound discrimination with genetic programming -- Efficient evolution of asymmetric recurrent neural networks using a PDGP-inspired two-dimensional representation -- A cellular-programming approach to pattern classification -- Evolving coupled map lattices for computation -- Genetic programming for automatic design of self-adaptive robots -- Genetic modelling of customer retention -- An evolutionary hybrid metaheuristic for solving the vehicle routing problem with heterogeneous fleet -- Building a genetic programming framework: The added-value of design patterns -- Evolutionary computation and the tinkerer?s evolving toolbox -- A dynamic lattice to envolve hierarchically shared subroutines. 330 $aThis book constitutes the refereed proceedings of the First European Workshop on Genetic Programming, EuroGP'98, held in Paris, France, in April 1998, under the sponsorship of EvoNet, the European Network of Excellence in Evolutionary Computing. The volume presents 12 revised full papers and 10 short presentations carefully selected for inclusion in the book. The papers are organized in topical sections on experimental and theoretical studies; algorithms, representations and operators; and applications. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v1391 606 $aSoftware engineering 606 $aArtificial intelligence 606 $aComputer programming 606 $aComputers 606 $aPattern perception 606 $aBioinformatics 606 $aComputational biology 606 $aSoftware Engineering/Programming and Operating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14002 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aComputer Appl. in Life Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/L17004 615 0$aSoftware engineering. 615 0$aArtificial intelligence. 615 0$aComputer programming. 615 0$aComputers. 615 0$aPattern perception. 615 0$aBioinformatics. 615 0$aComputational biology. 615 14$aSoftware Engineering/Programming and Operating Systems. 615 24$aArtificial Intelligence. 615 24$aProgramming Techniques. 615 24$aComputation by Abstract Devices. 615 24$aPattern Recognition. 615 24$aComputer Appl. in Life Sciences. 676 $a006.3/1 702 $aBanzhaf$b Wolfgang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPoli$b Riccardo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSchoenauer$b Marc$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFogarty$b Terence C.$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aEuroGP'98. 906 $aBOOK 912 $a9910143453303321 996 $aGenetic Programming$9772374 997 $aUNINA