Genetic Programming Theory and Practice XIV

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Riolo, Rick (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Worzel, Bill (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Goldman, Brian (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Tozier, Bill (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Genetic and Evolutionary Computation,
• Θέματα: 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. Chapters in this volume include: S...

Πίνακας περιεχομένων:

• 1 Similarity-based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression
• 2 An Investigation of Hybrid Structural and Behavioral Diversity Methods in Genetic Programming
• 3 Investigating Multi-Population Competitive Coevolution for Anticipation of Tax Evasion
• 4 Evolving Artificial General Intelligence for Video Game Controllers
• 5 A Detailed Analysis of a PushGP Run
• 6 Linear Genomes for Structured Programs
• 7 Neutrality, Robustness, and Evolvability in Genetic Programming
• 8 Local Search is Underused in Genetic Programming
• 9 PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification
• 10 Discovering Relational Structural in Program Synthesis Problems with Analogical Reasoning
• 11 An Evolutionary Algorithm for Big Data Multi-Class Classification Problems
• 12 A Genetic Framework for Building Dispersion Operators in the Semantic Space
• 13 Assisting Asset Model Development with Evolutionary Augmentation
• 14 Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool.