This paper describes the implementation of GAs in the compute unified device architecture (CUDA) environment. CUDA is a general-purpose computation environment ...
This paper describes the implementation of GAs in the compute unified device architecture (CUDA) environment. CUDA is a general-purpose computation environment ...
The proposed implementation of GAs in the compute unified device architecture (CUDA) environment is described; it is found that the proposed implementation ...
Accelerating Steady-State Genetic Algorithms based on CUDA Architecture. Masashi Oiso. Toshiyuki Yasuda and Kazuhiro Ohkura. Graduate School of Engineering.
This paper describes the implementation of GAs in the compute unified device architecture (CUDA) environment. CUDA is a general-purpose computation environment ...
This paper describes the implementation of GAs in the compute unified device architecture (CUDA) environment. CUDA is a general-purpose computation environment ...
Dive into the research topics of 'Accelerating steady-state genetic algorithms based on CUDA architecture'. Together they form a unique fingerprint. Sort by ...
Accelerating Genetic Algorithms (GAs) on these architectures has received significant attention from both practitioners and researchers ever since GPUs emerged.
Missing: steady- state
Dec 19, 2022 · Several techniques to speed up evolutionary algorithms have been reported. There are techniques based on the optimization of mutation and ...
The Compute Unified Device Architecture (CUDA) toolkit ... has increased at a steady rate. ... Li, “Distributed evolutionary algorithms and their models: A survey.