Genetic Programming Theory and Practice XI by Rick Riolo (English) Paperback Boo

Description: Genetic Programming Theory and Practice XI by Rick Riolo, Jason H. Moore, Mark Kotanchek 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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. Table of Contents Extreme Accuracy in Symbolic Regression.- Exploring Interestingness in a Computational Evolution System for the Genome-Wide Genetic Analysis of Alzheimers 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. Review "This volume is a collection of 12 papers … authoredby leading theorists and practitioners of GP, and submitted for the GeneticProgramming Theory and Practice (GPTP) workshop held at the University ofMichigan on May 9-11, 2013. This collection will interest GP researchers andpractitioners with sufficient background in artificial intelligence, evolvedanalytics, and smart systems." (Anoop Malaviya, Computing Reviews, December,2015) Review Quote 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)" Feature Describes cutting-edge work on genetic programming (GP) theory, applications of GP and how theory can be used to guide application of GP Demonstrates large-scale applications of GP to a variety of problem domains Reveals an inspiring synergy between GP applications and the latest in theoretical results for state-of -the-art problem solving Details ISBN1493955632 Year 2016 ISBN-10 1493955632 ISBN-13 9781493955633 Format Paperback Language English Media Book DEWEY 006.31 Imprint Springer-Verlag New York Inc. Place of Publication New York Country of Publication United States Edited by Mark Kotanchek Pages 227 AU Release Date 2016-08-23 NZ Release Date 2016-08-23 US Release Date 2016-08-23 UK Release Date 2016-08-23 Author Mark Kotanchek Birth 1987 Affiliation Cornell University, New York Position DESNDE Qualifications MD Publisher Springer-Verlag New York Inc. Edition Description Softcover reprint of the original 1st ed. 2014 Series Genetic and Evolutionary Computation Publication Date 2016-08-23 Alternative 9781493903740 Audience Professional & Vocational Illustrations 32 Illustrations, color; 36 Illustrations, black and white; XIV, 227 p. 68 illus., 32 illus. in color. We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:100253364;

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