Genetic Programming Theory and Practice VI

• Corporate Author: SpringerLink (Online service)
• Other Authors: Worzel, Bill (Editor), Soule, Terence (Editor), Riolo, Rick (Editor)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2009.
• Series: Genetic and Evolutionary Computation,
• Subjects: Computer science.; Computer programming.; Computers.; Algorithms.; Artificial intelligence.; Computer Science.; Programming Techniques.; Artificial Intelligence (incl. Robotics).; Computing Methodologies.; Theory of Computation.; Algorithm Analysis and Problem Complexity.

Genetic Programming Theory and Practice VI was developed from the sixth workshop at the University of Michigan's Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). Contributions from the...

Table of Contents:

• Genetic Programming: Theory and Practice
• APopulationBased Study ofEvolutionaryDynamics inGeneticProgramming
• An Application of Information Theoretic Selection to Evolution of Models with Continuous-valued Inputs
• Pareto Cooperative-Competitive Genetic Programming: A Classification Benchmarking Study
• Genetic Programming with Historically Assessed Hardness
• Crossover and Sampling Biases on Nearly Uniform Landscapes
• Analysis of theEffects ofElitismonBloat inLinear and Tree-basedGenetic Programming
• Automated Extraction of Expert Domain Knowledge from Genetic Programming Synthesis Results
• Does Complexity Matter? Artificial Evolution, Computational Evolution and the Genetic Analysis of Epistasis in Common Human Diseases.
• Exploiting Trustable Models via Pareto GP for Targeted Data Collection
• Evolving Effective Incremental Solvers for SAT with a Hyper-Heuristic Framework Based on Genetic Programming
• ConstrainedGenetic Programming toMinimizeOverfitting in StockSelection
• Co-Evolving Trading Strategies toAnalyzeBoundedRationality inDouble Auction Markets.
• Profiling Symbolic Regression-Classification
• Accelerating Genetic Programming through Graphics Processing Units.
• Genetic Programming for Incentive-Based Design within a Cultural Algorithms Framework.