Work

Model-Based Evolutionary Algorithms

Year: 2023

Type: conference-paper

Abstract: 1. Learn a model from selected solutions 2. Generate new solutions from the model (& population)

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

DOI: 10.1145/3583133.3595055

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: bronze

OpenAlex ID: W4385214217

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