Advances in Genetic Programming

• Main Authors: Angeline, Peter J, Jr., Kenneth E. Kinnear
• Format: eBook
• Language: English
• Published: Cambridge MIT Press 1996; The MIT Press
• Edition: 1
• Series: Complex Adaptive Systems
• Subjects: Artificial Intelligence; Computer Science; Computing and Processing; Electronic digital computers; Genetic programming (Computer science); Machine Learning & Neural Networks
• ISBN: 0262011581; 9780262011587
• DOI: 10.7551/mitpress/1109.001.0001

Genetic programming, a form of genetic algorithm that evolves programs and program-like executable structures, is a new paradigm for developing reliable, time- and cost-effective applications. The second volume of Advances in Genetic Programming highlights many of the most recent technical advances...

Table of Contents:

• Intro -- Contents -- Contributors -- Preface -- Acknowledgments -- 1 Genetic Programming's Continued Evolution -- I Variations on the Genetic Programming Theme -- 2 A Comparative Analysis of Genetic Programming -- 3 Evolving Programmers -- 4 Extending Genetic Programming with Recombinative Guidance -- 5 Two Self-Adaptive Crossover Operators for Genetic Programming -- 6 Explicitly Defined Introns and Destructive Crossover in Genetic Programming -- II Modular, Recursive and Pruning Genetic Programs -- 7 Simultaneous Evolution of Programs and Their Control Structures -- 8 Classifying Protein Segments as Transmembrane Domains Using Architecture-Altering Operations in Genetic Programming -- 9 Discovery of Subroutines in Genetic Programming -- 10 Evolving Recursive Programs for Tree Search -- 11 Evolving Recursive Functions for the Even-Parity Problem Using Genetic Programming -- 12 Adaptive Fitness Functions for Dynamic Growing/Pruning of Program Trees -- III Analysis and Implementation Issues in Genetic Programming -- 13 Efficiently Representing Populations in Genetic Programming -- 14 Genetically Optimizing The Speed of Programs Evolved to Play Tetris -- 15 The Royal Tree Problem, a Benchmark for Single and Multiple Population Genetic Programming -- 16 Parallel Genetic Programming -- 17 Massively Parallel Genetic Programming -- 18 Type Inheritance in Strongly Typed Genetic Programming -- 19 On Using Syntactic Constraints with Genetic Programming -- 20 Data Structures and Genetic Programming -- IV New Environments for Genetic Programming -- 21 Algorithm Discovery using the Genetic Programming Paradigm -- 22 Genetic Programming Learning and the Cobweb Model -- 23 Evolutionary Identification of Macro-Mechanical Models -- 24 Discovering Time Oriented Abstractions in Historical Data to Optimize Decision Tree Classification
• A Genetic Programming Resources on the World-Wide Web -- B A Bibliography for Genetic Programming -- Index