Genetic Programming Theory and Practice XV

• Corporate Author: SpringerLink (Online service)
• Other Authors: Banzhaf, Wolfgang (Editor, http://id.loc.gov/vocabulary/relators/edt), Olson, Randal S. (Editor, http://id.loc.gov/vocabulary/relators/edt), Tozier, William (Editor, http://id.loc.gov/vocabulary/relators/edt), Riolo, Rick (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Genetic and Evolutionary Computation,
• Subjects: Artificial intelligence.; Computational intelligence.; Algorithms.; Artificial Intelligence.; Computational Intelligence.; Algorithm Analysis and Problem Complexity.
• Physical Description: XV, 187 p. 54 illus., 46 illus. in color. online resource.
• ISBN: 9783319905129
• ISSN: 1932-0167
• DOI: 10.1007/978-3-319-90512-9

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.