Genetic Programming Theory and Practice IV

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. - Orthogonal Evolution 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. Language: English