Description: Genetic Programming Theory and Practice XIV, Hardcover by Riolo, Rick (EDT); Worzel, Bill (EDT); Goldman, Brian (EDT); Tozier, Bill (EDT), ISBN 3319970879, ISBN-13 9783319970875, Like New Used, Free shipping in the US
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:
- Similarity-based Analysis of Population Dynamics in GP Performing Symbolic Regression
- Hybrid Structural and Behavioral Diversity Methods in GP
- Multi-Population Competitive Coevolution for Anticipation of Tax Evasion
- Evolving Artificial General Intelligence for Video Game Controllers
- A Detailed Analysis of a PushGP Run
- Linear Genomes for Structured Programs
- Neutrality, Robustness, and Evolvability in GP
- Local Search in GP
- PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification
- Relational Structure in Program Synthesis Problems with Analogical Reasoning
- An Evolutionary Algorithm for Big Data Multi-Class Classification Problems
- A Generic Framework for Building Dispersion Operators in the Semantic Space
- Assisting Asset Model Development with Evolutionary Augmentation
- Building Blocks of Machine Learning Pipelines for Initialization of a Data Science Automation Tool
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.
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Book Title: Genetic Programming Theory and Practice XIV
Number of Pages: Xv, 227 Pages
Language: English
Publication Name: Genetic Programming Theory and Practice Xiv
Publisher: Springer International Publishing A&G
Subject: Programming / General, Engineering (General), Programming / Algorithms, Intelligence (Ai) & Semantics
Publication Year: 2018
Type: Textbook
Item Weight: 18.9 Oz
Subject Area: Computers, Technology & Engineering
Author: Bill Worzel
Item Length: 9.3 in
Series: Genetic and Evolutionary Computation Ser.
Item Width: 6.1 in
Format: Hardcover