From the reviews: "This book is a collection of contributions from various theorists and practitioners working in the genetic programming (GP) field. ... anyone who is interested in the subject should monitor the ongoing research; this volume is an essential assistant for the task. ... I found the book interesting ... that stimulate the researcher to think of further applications of the presented techniques and methodologies. ... I recommend it not only to GP researchers and practitioners, but also to any scientist dealing with optimization problems ... ." (Lefteris Angelis, ACM Computing Reviews, March, 2009)

• 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..

From the reviews: "This book is a collection of contributions from various theorists and practitioners working in the genetic programming (GP) field. ... anyone who is interested in the subject should monitor the ongoing research; this volume is an essential assistant for the task. ... I found the book interesting ... that stimulate the researcher to think of further applications of the presented techniques and methodologies. ... I recommend it not only to GP researchers and practitioners, but also to any scientist dealing with optimization problems ... ." (Lefteris Angelis, ACM Computing Reviews, March, 2009)

• 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..

From the reviews: "This book is a collection of contributions from various theorists and practitioners working in the genetic programming (GP) field. ... anyone who is interested in the subject should monitor the ongoing research; this volume is an essential assistant for the task. ... I found the book interesting ... that stimulate the researcher to think of further applications of the presented techniques and methodologies. ... I recommend it not only to GP researchers and practitioners, but also to any scientist dealing with optimization problems ... ." (Lefteris Angelis, ACM Computing Reviews, March, 2009)

• 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..