Work

LEARNABLE EVOLUTION MODEL: Evolutionary Processes Guided by Machine Learning

Year: 2000

Type: article

Source: Machine Learning

DOI: 10.1023/a:1007677805582

Author: Ryszard S. Michalski

Institutions: George Mason University, Institute of Computer Science, Polish Academy of Sciences

Language: English

Topic: Evolutionary Algorithms and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, George Mason University, Advanced Research Projects Agency, Office of Naval Research

Awards: Multistrategy Constructive Induction: A Theory and Methodology for Task-Oriented Improvement of Knowledge Representation Spaces for Learning, G8876996369, SGER: Learnable Evolution: Speeding up Evolutionary Computation by Inductive Learning

OpenAlex ID: W1587104749

FWCI: 5.506

Cites: 68

Cited by: 231

Related to: 10