Genetic Programming Theory and Practice IV

Cover -- Contents -- Contributing Authors -- Preface -- Foreword -- 1 Genetic Programming: Theory and Practice -- 2 Genome-Wide Genetic Analysis Using Genetic Programming -- 3 Lifting the Curse of Dimensionality -- 4 GP for Classifying Cancer Data and Controlling Humanoid Robots -- 5 Boosting Improves Stability and Accuracy of Genetic Programming in Biological Sequence Classification -- 6 Orthogonal Evolution of Teams: A Class of Algorithms for Evolving Teams with Inversely Correlated Errors -- 7 Multidimensional Tags, Cooperative Populations, and Genetic Programming -- 8 Coevolving Fitness Models for Accelerating Evolution and Reducing Evaluations -- 9 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 -- 10 Robust Pareto Front Genetic Programming Parameter Selection Based on Design of Experiments and Industrial Data -- 11 Pursuing the Pareto Paradigm: Tournaments, Algorithm Variations and Ordinal Optimization -- 12 Applying Genetic Programming to Reservoir History Matching Problem -- 13 Comparison of Robustness of Three Filter Design Strategies Using Genetic Programming and Bond Graphs -- 14 Design of Posynomial Models for Mosfets: Symbolic Regression Using Genetic Algorithms -- 15 Phase Transitions in Genetic Programming Search -- 16 Efficient Markov Chain Model of Machine Code Program Execution and Halting -- 17 A Re-examination of a Real World Blood Flow Modeling Problem Using Context-aware Crossover -- 18 Large-Scale, Time-Constrained Symbolic Regression -- 19 Stock Selection: An Innovative Application of Genetic Programming Methodology -- Index -- Last Page.