LEADER 04811nam 22006255 450 001 9910409670203321 005 20200704194948.0 010 $a3-030-39958-3 024 7 $a10.1007/978-3-030-39958-0 035 $a(CKB)4100000011231738 035 $a(DE-He213)978-3-030-39958-0 035 $a(MiAaPQ)EBC6192286 035 $a(PPN)248395203 035 $a(EXLCZ)994100000011231738 100 $a20200507d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aGenetic Programming Theory and Practice XVII /$fedited by Wolfgang Banzhaf, Erik Goodman, Leigh Sheneman, Leonardo Trujillo, Bill Worzel 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XXVI, 409 p. 142 illus., 112 illus. in color.) 225 1 $aGenetic and Evolutionary Computation,$x1932-0167 311 $a3-030-39957-5 320 $aIncludes bibliographical references and index. 327 $a1. Characterizing the Effects of Random Subsampling on Lexicase Selection -- 2. It is Time for New Perspectives on How to Fight Bloatin GP -- 3. Explorations of the Semantic Learning Machine Neuroevolution Algorithm -- 4. Can Genetic Programming Perform Explainable Machine Learning for Bioinformatics? -- 5. Symbolic Regression by Exhaustive Search ? Reducing the Search Space using Syntactical Constraints and Ef?cient Semantic Structure Deduplication -- 6. Temporal Memory Sharing in Visual Reinforcement Learning -- 7. The Evolution of Representations in Genetic Programming Trees -- 8. How Competitive is Genetic Programming in Business Data Science Applications? -- 9. Using Modularity Metrics as Design Features to Guide Evolution in Genetic Programming -- 10. Evolutionary Computation and AI Safety -- 11. Genetic Programming Symbolic Regression -- 12. Hands-on Arti?cial Evolution through Brain Programming -- 13. Comparison of Linear Genome Representations For Software Synthesis -- 14. Enhanced Optimization with Composite Objectives and Novelty Pulsation -- 15. New Pathways in Coevolutionary Computation -- 16. 2019 Evolutionary Algorithms Review -- 17. Evolving a Dota 2 Hero Bot with a Probabilistic Shared Memory Model -- 18. Modelling Genetic Programming as a Simple Sampling Algorithm -- 19. An Evolutionary System for Better Automatic Software Repair -- Index. 330 $aThese contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. In this year?s edition, the topics covered include many of the most important issues and research questions in the ?eld, such as: opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and ef?cient learning strategies, encodings and representations for GP, schema theorems, and new selection mechanisms.The volume includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results. 410 0$aGenetic and Evolutionary Computation,$x1932-0167 606 $aArtificial intelligence 606 $aComputational intelligence 606 $aAlgorithms 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 615 0$aArtificial intelligence. 615 0$aComputational intelligence. 615 0$aAlgorithms. 615 14$aArtificial Intelligence. 615 24$aComputational Intelligence. 615 24$aAlgorithm Analysis and Problem Complexity. 676 $a006.31 702 $aBanzhaf$b Wolfgang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aGoodman$b Erik$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSheneman$b Leigh$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTrujillo$b Leonardo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWorzel$b Bill$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910409670203321 996 $aGenetic Programming Theory and Practice XVII$92025650 997 $aUNINA