LEADER 04445nam 22004335 450 001 9910299352603321 005 20230726221104.0 010 $a3-319-78717-9 024 7 $a10.1007/978-3-319-78717-6 035 $a(CKB)4100000006519878 035 $a(MiAaPQ)EBC5514533 035 $a(DE-He213)978-3-319-78717-6 035 $a(PPN)230541445 035 $a(EXLCZ)994100000006519878 100 $a20180911d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHandbook of Grammatical Evolution /$fedited by Conor Ryan, Michael O'Neill, JJ Collins 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (497 pages) 311 $a3-319-78716-0 327 $a1 Introduction to GE -- 2 Understanding Grammatical Evolution: Grammar Design -- 3 Bias in Grammatical Evolution -- 4 Mapping in Grammatical Evolution -- 5 Theory of Disruption in GE -- 6 Structured Grammatical Evolution -- 7 Geometric Semantic Grammatical Evolution -- 8 GE and Semantics -- 9 Multi- and Many-core Heterogeneous Parallel Grammatical Evolution -- 10 Grammatical Evolution -- 11 Financial Modelling with Grammatical Evolution -- 12 Synthesis of Parallel Programs on Multi-cores -- 13 Design, Architecture and Engineering with Grammatical Evolution -- 14 Computational Creativity and Grammatical Evolution -- 15 Grammatical Evolution in the Prediction of Glucose for Diabetes -- 16 Genomics -- 17 Grammatical Evolution with Coevolutionary Algorithms in Cybersecurity -- 18 Evolving Behavior Trees with Grammatical Evolution for Platform Games -- 19 Patient Recruitment in Multicentre Clinical Trials. 330 $aThis handbook offers a comprehensive treatise on Grammatical Evolution (GE), a grammar-based Evolutionary Algorithm that employs a function to map binary strings into higher-level structures such as programs. GE's simplicity and modular nature make it a very flexible tool. Since its introduction almost twenty years ago, researchers have applied it to a vast range of problem domains, including financial modelling, parallel programming and genetics. Similarly, much work has been conducted to exploit and understand the nature of its mapping scheme, triggering additional research on everything from different grammars to alternative mappers to initialization. The book first introduces GE to the novice, providing a thorough description of GE along with historical key advances. Two sections follow, each composed of chapters from international leading researchers in the field. The first section concentrates on analysis of GE and its operation, giving valuable insight into set up and deployment. The second section consists of seven chapters describing radically different applications of GE. The contributions in this volume are beneficial to both novices and experts alike, as they detail the results and researcher experiences of applying GE to large scale and difficult problems. Topics include: ? Grammar design ? Bias in GE ? Mapping in GE ? Theory of disruption in GE · Structured GE · Geometric semantic GE · GE and semantics · Multi- and Many-core heterogeneous parallel GE · Comparing methods to creating constants in GE · Financial modelling with GE · Synthesis of parallel programs on multi-cores · Design, architecture and engineering with GE · Computational creativity and GE · GE in the prediction of glucose for diabetes · GE approaches to bioinformatics and system genomics · GE with coevolutionary algorithms in cybersecurity · Evolving behaviour trees with GE for platform games · Business analytics and GE for the prediction of patient recruitment in multicentre clinical trials. 606 $aArtificial intelligence 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aArtificial intelligence. 615 14$aArtificial Intelligence. 676 $a005.1 702 $aRyan$b Conor$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aO'Neill$b Michael$f1975-$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCollins$b JJ$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910299352603321 996 $aHandbook of Grammatical Evolution$92223554 997 $aUNINA