LEADER 05534nam 22007575 450 001 996465832403316 005 20230406052626.0 024 7 $a10.1007/b138412 035 $a(CKB)1000000000213117 035 $a(SSID)ssj0000317760 035 $a(PQKBManifestationID)11211915 035 $a(PQKBTitleCode)TC0000317760 035 $a(PQKBWorkID)10295536 035 $a(PQKB)10549772 035 $a(DE-He213)978-3-540-32035-7 035 $a(MiAaPQ)EBC3067728 035 $a(PPN)123096014 035 $a(EXLCZ)991000000000213117 100 $a20100925d2005 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aFoundations of Genetic Algorithms$b[electronic resource] $e8th International Workshop, FOGA 2005, Aizu-Wakamatsu City, Japan, January 5-9, 2005, Revised Selected Papers /$fedited by Alden H. Wright, Michael D. Vose, Kenneth A. De Jong, Lothar M. Schmitt 205 $a1st ed. 2005. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2005. 215 $a1 online resource (X, 314 p.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v3469 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-32035-0 311 $a3-540-27237-2 320 $aIncludes bibliographical references and index. 327 $aGenetic Algorithms for the Variable Ordering Problem of Binary Decision Diagrams -- Gray, Binary and Real Valued Encodings: Quad Search and Locality Proofs -- A Comparison of Simulated Annealing with a Simple Evolutionary Algorithm -- NP-Completeness of Deciding Binary Genetic Encodability -- Compact Genetic Codes as a Search Strategy of Evolutionary Processes -- Asymptotic Convergence of Some Metaheuristics Used for Multiobjective Optimization -- Running Time Analysis of a Multiobjective Evolutionary Algorithm on Simple and Hard Problems -- Tournament Selection, Iterated Coupon-Collection Problem, and Backward-Chaining Evolutionary Algorithms -- A Schema-Based Version of Geiringer?s Theorem for Nonlinear Genetic Programming with Homologous Crossover -- Coarse Graining Selection and Mutation -- Perturbation Theory and the Renormalization Group in Genetic Dynamics -- Optimal Weighted Recombination -- On the Prediction of the Solution Quality in Noisy Optimization -- Rigorous Runtime Analysis of the (1+1) ES: 1/5-Rule and Ellipsoidal Fitness Landscapes -- Population Sizing of Dependency Detection by Fitness Difference Classification -- The Deceptive Degree of the Objective Function. 330 $aThe8thWorkshopontheFoundationsofGeneticAlgorithms,FOGA-8,washeld at the University of Aizu in Aizu-Wakamatsu City, Japan, January 5?9, 2005. This series of workshops was initiated in 1990 to encourage further research on the theoretical aspects of genetic algorithms, and the workshops have been held biennially ever since. The papers presented at these workshops are revised, edited and published as volumes during the year following each workshop. This series of (now eight) volumes provides an outstanding source of reference for the theoretical work in this ?eld. At the same time this series of volumes provides a clear picture of how the theoretical research has grown and matured along with the ?eld to encompass many evolutionary computation paradigms including evolution strategies (ES), evolutionary programming (EP), and genetic programming (GP), as well as the continuing growthininteractionswith other ?elds suchas mathematics,physics, and biology. Atraditionoftheseworkshopsisorganizetheminsuchawayastoencourage lots of interaction and discussion by restricting the number of papers presented and the number of attendees, and by holding the workshop in a relaxed and informal setting. This year?s workshop was no exception. Thirty-two researchers met for 3 days to present and discuss 16 papers. The local organizer was Lothar Schmitt who, together with help and support from his university, provided the workshop facilities. Aftertheworkshopwasover,theauthorsweregiventheopportunitytorevise their papers based on the feedback they received from the other participants. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v3469 606 $aComputer science 606 $aAlgorithms 606 $aArtificial intelligence 606 $aEvolution (Biology) 606 $aPopulation genetics 606 $aTheory of Computation 606 $aAlgorithms 606 $aArtificial Intelligence 606 $aEvolutionary Biology 606 $aPopulation Genetics 615 0$aComputer science. 615 0$aAlgorithms. 615 0$aArtificial intelligence. 615 0$aEvolution (Biology). 615 0$aPopulation genetics. 615 14$aTheory of Computation. 615 24$aAlgorithms. 615 24$aArtificial Intelligence. 615 24$aEvolutionary Biology. 615 24$aPopulation Genetics. 676 $a005.1 702 $aWright$b Alden H$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVose$b Michael D$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDe Jong$b Kenneth A$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSchmitt$b Lothar M$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aWorkshop on Foundations of Genetic Algorithms 906 $aBOOK 912 $a996465832403316 996 $aFoundations of Genetic Algorithms$9771882 997 $aUNISA LEADER 00945nam a2200253 i 4500 001 991001781039707536 005 20020502203833.0 008 980226s1996 it ||| | ita| 035 $ab10908730-39ule_inst 035 $aLE02376814$9ExL 040 $aDip.to Studi Storici$bita 082 0 $a390 100 1 $aSallmann, Jean-Michel$0143990 245 10$aSanti barocchi :$bsantità, pratiche devozionali, compotamenti religiosi nel regno di Napoli del 1540 al 1750 /$cJean-Michel Sallman 260 $aLecce :$bArgo,$c1996 300 $a548 p. 650 4$aReligiosità popolare - Regno di Napoli$ySec. 16.-18. 650 4$aSanti 907 $a.b10908730$b02-04-14$c28-06-02 912 $a991001781039707536 945 $aLE023 235.2 SAL 1 1$g1$i2023000039199$lle023$o-$pE0.00$q-$rl$s- $t0$u20$v3$w20$x0$y.i1101314x$z28-06-02 996 $aSanti barocchi$9920772 997 $aUNISALENTO 998 $ale023$b01-01-98$cm$da $e-$fita$git $h0$i1