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Genetic Programming Theory and Practice IV

Genetic Programming Theory and Practice IV


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About the Book

Contributing Authors.- Preface.- Foreword.- Genetic Programming: Theory and Practice.- Genome-Wide Genetic Analysis Using Genetic Programming: The Critical Need for Expert Knowledge.- Lifting the Curse of Dimensionality.- Genetic Programming for Classifying Cancer Data and Controlling Humanoid Robots.- Boosting Improves Stability and Accuracy of Genetic Programming in Biological Sequence Classification.- Othogonal Evoluton of Teams: A Class of Algorithms for Evolving Teams with Inversely Correlated Errors.- Multidimensional Tags, Cooperative Populations, and Genetic Programming.- Coevolving Fitness Models for Accelerating Evolution and Reducing Evaluations.- Multi-Domain Observations Concerning the Use of Genetic Programming to Automatically Synthesize Human-Competitive Designs for Analog Circuits, Optical Lens Systems, Controllers, Antennas, Mechanical Systems, and Quantum Computing Circuits.- Robust Pareto Front Genetic Programming Parameter Selection Based on Design of Experiments and Industrial Data.- Pursuing the Pareto Paradigm: Tournaments, Algorithm Variations and Ordinal Optimization.- Applying Genetic Programming to Reservoir History Matching Problem.- Comparison of Robustness of Three Filter Design Strategies Using Genetic Programming and Bond Graphs.- Design of Posynomial Models for Mosfets: Symbolic Regression Using Genetic Algorithms.- Phase Transitions in Genetic Programming Search.- Efficient Markov Chain Model of Machine Code Program Execution and Halting.- A Re-examination of a Real World Blood Flow Modeling Problem Using Context-aware Crossover.- Large-Scale, Time-Constrained Symbolic Regression.- Stock Selection: An Innovative Application of Genetic Programming Methodology.- Index.


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Product Details
  • ISBN-13: 9781441941237
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Edition: 1st ed. Softcover of orig. ed. 2007
  • Language: English
  • Returnable: Y
  • Spine Width: 19 mm
  • Width: 156 mm
  • ISBN-10: 1441941231
  • Publisher Date: 19 Nov 2010
  • Binding: Paperback
  • Height: 234 mm
  • No of Pages: 338
  • Series Title: Genetic and Evolutionary Computation
  • Weight: 548 gr


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