04457nam 22007455 450 99646609920331620200703043344.03-540-49176-710.1007/3-540-59046-3(CKB)1000000000234242(SSID)ssj0000323006(PQKBManifestationID)11212795(PQKBTitleCode)TC0000323006(PQKBWorkID)10289653(PQKB)10085942(DE-He213)978-3-540-49176-7(PPN)155185586(EXLCZ)99100000000023424220121227d1995 u| 0engurnn|008mamaatxtccrEvolution and Biocomputation[electronic resource] Computational Models of Evolution /edited by Wolfgang Banzhaf, Frank H. Eckman1st ed. 1995.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,1995.1 online resource (VIII, 284 p.) Lecture Notes in Computer Science,0302-9743 ;899Bibliographic Level Mode of Issuance: Monograph3-540-59046-3 Editors' introduction -- Aspects of optimality behavior in population genetics theory -- Optimization as a technique for studying population genetics equations -- Emergence of mutualism -- Three illustrations of artificial life's working hypothesis -- Self-organizing algorithms derived from RNA interactions -- Modeling the connection between development and evolution: Preliminary report -- Soft genetic operators in Evolutionary Algorithms -- Analysis of selection, mutation and recombination in genetic algorithms -- The role of mate choice in biocomputation: Sexual selection as a process of search, optimization, and diversification -- Genome growth and the evolution of the genotype-phenotype map.This volume comprises ten thoroughly refereed and revised full papers originating from an interdisciplinary workshop on biocomputation entitled "Evolution as a Computational Process", held in Monterey, California in July 1992. This book is devoted to viewing biological evolution as a giant computational process being carried out over a vast spatial and temporal scale. Computer scientists, mathematicians and physicists may learn about optimization from looking at natural evolution and biologists may learn about evolution from studying artificial life, game theory, and mathematical optimization. In addition to the ten full papers addressing e.g. population genetics, emergence, artificial life, self-organization, evolutionary algorithms, and selection, there is an introductory survey and a subject index.Lecture Notes in Computer Science,0302-9743 ;899Evolutionary biologyComputersAlgorithmsArtificial intelligenceCombinatoricsBiomathematicsEvolutionary Biologyhttps://scigraph.springernature.com/ontologies/product-market-codes/L21001Theory of Computationhttps://scigraph.springernature.com/ontologies/product-market-codes/I16005Algorithm Analysis and Problem Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/I16021Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Combinatoricshttps://scigraph.springernature.com/ontologies/product-market-codes/M29010Mathematical and Computational Biologyhttps://scigraph.springernature.com/ontologies/product-market-codes/M31000Evolutionary biology.Computers.Algorithms.Artificial intelligence.Combinatorics.Biomathematics.Evolutionary Biology.Theory of Computation.Algorithm Analysis and Problem Complexity.Artificial Intelligence.Combinatorics.Mathematical and Computational Biology.575.1/5/015118Banzhaf Wolfgangedthttp://id.loc.gov/vocabulary/relators/edtEckman Frank Hedthttp://id.loc.gov/vocabulary/relators/edtBOOK996466099203316Evolution and biocomputation1501996UNISA00927nam a2200277 i 450099100082319970753620020506124819.0960310s1974 us ||| | eng b10134578-39ule_instLE00637437ExLDip.to Fisicaita52.9.5552.9.56523.1'135QB855Osterbrock, D.461169Astrophysics of gaseous nebulae /D. OsterbrockSan Francisco :W.H. Freeman and Company,1974xiv, 251 p. :ill. ;25 cm.Nebulae.b1013457821-09-0627-06-02991000823199707536LE006 52.9.53+52.9.55 OST12006000096928le006-E0.00-l- 00000.i1015851027-06-02Astrophysics of gaseous nebulae185423UNISALENTOle00601-01-96ma -engus 01