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000932768 019__ $$a1154286198$$a1155887668$$a1156735803$$a1156749449$$a1157245465$$a1157444138$$a1158355724
000932768 020__ $$a9783030399580$$q(electronic book)
000932768 020__ $$a3030399583$$q(electronic book)
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000932768 0247_ $$a10.1007/978-3-030-39
000932768 0247_ $$a10.1007/978-3-030-39958-0$$2doi
000932768 035__ $$aSP(OCoLC)on1154546655
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000932768 049__ $$aISEA
000932768 050_4 $$aQA76.623
000932768 08204 $$a006.3/1$$223
000932768 1112_ $$aWorkshop on Genetic Programming, Theory and Practice$$n(17th :$$d2019 :$$cEast Lansing, Mich.)
000932768 24510 $$aGenetic programming theory and practice XVII /$$cWolfgang Banzhaf, Erik Goodman, Leigh Sheneman, Leonardo Trujillo, Bill Worzel, editors.
000932768 2463_ $$aGenetic programming theory and practice 17
000932768 260__ $$aCham :$$bSpringer,$$c2020.
000932768 300__ $$a1 online resource (423 pages).
000932768 336__ $$atext$$btxt$$2rdacontent
000932768 337__ $$acomputer$$bc$$2rdamedia
000932768 338__ $$aonline resource$$bcr$$2rdacarrier
000932768 347__ $$atext file$$bPDF$$2rda
000932768 4901_ $$aGenetic and evolutionary computation series
000932768 504__ $$aIncludes bibliographical references and index.
000932768 5050_ $$a1. Characterizing the Effects of Random Subsampling on Lexicase Selection -- 2. It is Time for New Perspectives on How to Fight Bloatin GP -- 3. Explorations of the Semantic Learning Machine Neuroevolution Algorithm -- 4. Can Genetic Programming Perform Explainable Machine Learning for Bioinformatics? -- 5. Symbolic Regression by Exhaustive Search -- Reducing the Search Space using Syntactical Constraints and Efficient Semantic Structure Deduplication -- 6. Temporal Memory Sharing in Visual Reinforcement Learning -- 7. The Evolution of Representations in Genetic Programming Trees -- 8. How Competitive is Genetic Programming in Business Data Science Applications? -- 9. Using Modularity Metrics as Design Features to Guide Evolution in Genetic Programming -- 10. Evolutionary Computation and AI Safety -- 11. Genetic Programming Symbolic Regression -- 12. Hands-on Artificial Evolution through Brain Programming -- 13. Comparison of Linear Genome Representations For Software Synthesis -- 14. Enhanced Optimization with Composite Objectives and Novelty Pulsation -- 15. New Pathways in Coevolutionary Computation -- 16. 2019 Evolutionary Algorithms Review -- 17. Evolving a Dota 2 Hero Bot with a Probabilistic Shared Memory Model -- 18. Modelling Genetic Programming as a Simple Sampling Algorithm -- 19. An Evolutionary System for Better Automatic Software Repair -- Index.
000932768 506__ $$aAccess limited to authorized users.
000932768 520__ $$aThese contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. In this years edition, the topics covered include many of the most important issues and research questions in the field, such as: opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and efficient learning strategies, encodings and representations for GP, schema theorems, and new selection mechanisms.The volume includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
000932768 588__ $$aDescription based on print version record.
000932768 650_0 $$aGenetic programming (Computer science)$$vCongresses.
000932768 650_0 $$aArtificial intelligence$$vCongresses.
000932768 7001_ $$aBanzhaf, Wolfgang,$$d1955-
000932768 7001_ $$aGoodman, Erik.
000932768 7001_ $$aSheneman, Leigh.
000932768 7001_ $$aTrujillo, Leonardo.
000932768 7001_ $$aWorzel, Bill.
000932768 77608 $$iPrint version:$$aBanzhaf, Wolfgang$$tGenetic Programming Theory and Practice XVII$$dCham : Springer,c2020$$z9783030399573
000932768 830_0 $$aGenetic and evolutionary computation series.
000932768 852__ $$bebk
000932768 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-39958-0$$zOnline Access$$91397441.1
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000932768 980__ $$aEBOOK
000932768 980__ $$aBIB
000932768 982__ $$aEbook
000932768 983__ $$aOnline
000932768 994__ $$a92$$bISE