Genetic Programming Theory and Practice XVI

• Corporate Author: SpringerLink (Online service)
• Other Authors: Banzhaf, Wolfgang (Editor, http://id.loc.gov/vocabulary/relators/edt), Spector, Lee (Editor, http://id.loc.gov/vocabulary/relators/edt), Sheneman, Leigh (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Genetic and Evolutionary Computation,
• Subjects: Artificial intelligence.; Computational intelligence.; Algorithms.; Artificial Intelligence.; Computational Intelligence.; Algorithm Analysis and Problem Complexity.

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: evo...

Table of Contents:

• 1 Exploring Genetic Programming Systems with MAP-Elites
• 2 The Evolutionary Buffet Method
• 3 Emergent Policy Discovery for Visual Reinforcement Learning through Tangled Program Graphs: A Tutorial
• 4 Strong Typing, Swarm Enhancement, and Deep Learning Feature Selection in the Pursuit of Symbolic Regression-Classification
• 5 Cluster Analysis of a Symbolic Regression Search Space
• 6 What else is in an evolved name? Exploring evolvable specificity with SignalGP
• Lexicase Selection Beyond Genetic Programming
• 8 Evolving developmental programs that build neural networks for solving multiple problems
• 9 The Elephant in the Room - Towards the Application of Genetic Programming to Automatic Programming
• 10 Untapped Potential of Genetic Programming: Transfer Learning and Outlier Removal
• 11 Program Search for Machine Learning Pipelines Leveraging Symbolic Planning and Reinforcement Learning.