Work

Model-based evolutionary algorithms

Year: 2021

Type: conference-paper

Abstract: 1. Learn a model from selected solutions 2. Generate new solutions

Source: Genetic and Evolutionary Computation Conference Companion (GECCO Companion)

DOI: 10.1145/3449726.3461417

Authors: Dirk Thierens, Peter A. N. Bosman

Institutions: Utrecht University, Centrum Wiskunde & Informatica

Language: English

Topic: Evolutionary Algorithms and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3197018180

FWCI:

Cites:

Cited by: 1

Related to: 10