Work

Accelerating genetic programming using pycuda

Year: 2018

Type: conference-paper

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

DOI: 10.1145/3205651.3208760

Authors: Keiko Ono, Yoshiko Hanada

Institutions: Ryukoku University, Kansai University

Language: English

Topic: Evolutionary Algorithms and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2845542101

FWCI:

Cites: 2

Cited by:

Related to: 10