Ebook: Genetic Programming Theory and Practice XV
- Tags: Computer Science, Artificial Intelligence (incl. Robotics), Computational Intelligence, Algorithm Analysis and Problem Complexity
- Series: Genetic and Evolutionary Computation
- Year: 2018
- Publisher: Springer International Publishing
- Edition: 1st ed.
- Language: English
- pdf
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: exploiting subprograms in genetic programming, schema frequencies in GP, Accessible AI, GP for Big Data, lexicase selection, symbolic regression techniques, co-evolution of GP and LCS, and applying ecological principles to GP. It also covers several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.