- Full Description
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 include: modularity and scalability; evolvability; human-competitive results; the need for important high-impact GP-solvable problems;; the risks of search stagnation and of cutting off paths to solutions; the need for novelty; empowering GP search with expert knowledge; In addition, GP symbolic regression is thoroughly discussed, addressing such topics as guaranteed reproducibility of SR; validating SR results, measuring and controlling genotypic complexity; controlling phenotypic complexity; identifying, monitoring, and avoiding over-fitting; finding a comprehensive collection of SR benchmarks, comparing SR to machine learning. This text is for all GP explorers. 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.
- Table of Contents
Table of Contents
- What’s in an evolved name? The evolution of modularity via tag
- based Reference.
- Let the Games Evolve!.
- Novelty Search and the Problem with Objectives.
- A fine
- grained view of phenotypes and locality in genetic programming.
- Evolution of an Effective Brain
- Computer Interface Mouse via Genetic Programming with Adaptive Tarpeian Bloat Control.
- Improved Time Series Prediction and Symbolic Regression with Affine Arithmetic.
- Computational Complexity Analysis of Genetic Programming – Initial Results and Future Directions.
- Accuracy in Symbolic Regression.
- Computer Interaction in a Computational Evolution System for the Genetic Analysis of Cancer.
- Baseline Genetic Programming: Symbolic Regression on Benchmarks for Sensory Evaluation Modeling.
- Detecting Shadow Economy Sizes With Symbolic Regression.
- The Importance of Being Flat – Studying the Program Length Distributions of Operator Equalisation.
- FFX: Fast, Scalable, Deterministic Symbolic Regression Technology.
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