Articoli correlati a Genetic Programming Theory and Practice XI
Sinossi
These 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. Topics in this volume include: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud – communication, cooperation, flexible implementation, and ensemble methods. Additional focal points for GP symbolic regression are: (1) The need to guarantee convergence to solutions in the function discovery mode; (2) Issues on model validation; (3) The need for model analysis workflows for insight generation based on generated GP solutions – model exploration, visualization, variable selection, dimensionality analysis; (4) Issues in combining different types of data. 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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Recensione
“This volume is a collection of 12 papers ... authored by leading theorists and practitioners of GP, and submitted for the Genetic Programming Theory and Practice (GPTP) workshop held at the University of Michigan on May 9-11, 2013. This collection will interest GP researchers and practitioners with sufficient background in artificial intelligence, evolved analytics, and smart systems.” (Anoop Malaviya, Computing Reviews, December, 2015)
Contenuti
Extreme Accuracy in Symbolic Regression.- Exploring Interestingness in a Computational Evolution System for the Genome-Wide Genetic Analysis of Alzheimer's Disease.- Optimizing a Cloud Contract Portfolio using Genetic Programming-based Load Models.- Maintenance of a Long Running Distributed Genetic Programming System for Solving Problems Requiring Big Data.- Grounded Simulation: Using Simulated Evolution to Guide Embodied Evolution.- Applying Genetic Programming in Business Forecasting.- Explaining Unemployment Rates with Symbolic Regression.- Uniform Linear Transformation with Repair and Alternation in Genetic Programming.- A Deterministic and Symbolic Regression Hybrid Applied to Resting-State fMRI Data.- Gaining Deeper Insights in Symbolic Regression.- Geometric Semantic Genetic Programming for Real Life Applications.- Evaluation of Parameter Contribution to Neural Network Size and Fitness in ATHENA for Genetic Analysis.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditoreSpringer-Nature New York Inc
- Data di pubblicazione2014
- ISBN 10 1493903748
- ISBN 13 9781493903740
- RilegaturaCopertina rigida
- Numero di pagine227
- RedattoreRiolo Rick, Moore Jason H., Kotanchek Mark
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Genetic programming theory and practice XI.
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New York, NY [u.a.], Springer., 2014
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ISBN 13: 9781493903740
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Online-Ressource (XIV, 227 p. 68 illus., 32 illus. in color) online resource. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Genetic and evolutionary computation. Codice articolo 10237JB
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Genetic Programming Theory and Practice XI (Genetic and Evolutionary Computation)
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Genetic Programming Theory and Practice XI
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -These 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. Topics in this volume include: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud - communication, cooperation, flexible implementation, and ensemble methods. Additional focal points for GP symbolic regression are: (1) The need to guarantee convergence to solutions in the function discovery mode; (2) Issues on model validation; (3) The need for model analysis workflows for insight generation based on generated GP solutions - model exploration, visualization, variable selection, dimensionality analysis; (4) Issues in combining different types of data. 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. 244 pp. Englisch. Codice articolo 9781493903740
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Genetic Programming Theory and Practice XI
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ISBN 10: 1493903748
ISBN 13: 9781493903740
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - These 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. Topics in this volume include: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud - communication, cooperation, flexible implementation, and ensemble methods. Additional focal points for GP symbolic regression are: (1) The need to guarantee convergence to solutions in the function discovery mode; (2) Issues on model validation; (3)The need for model analysis workflows for insight generation based on generated GP solutions - model exploration, visualization, variable selection, dimensionality analysis; (4) Issues in combining different types of data. 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. Codice articolo 9781493903740
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes cutting-edge work on genetic programming (GP) theory, applications of GP and how theory can be used to guide application of GPDemonstrates large-scale applications of GP to a variety of problem domainsReveals an inspiring synergy . Codice articolo 4213781
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Genetic Programming Theory and Practice XI
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Springer-Verlag New York Inc., 2014
ISBN 10: 1493903748
ISBN 13: 9781493903740
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