Our results show that Adaptive Differential Evolution algorithm is able to achieve better energy consumption as well as EDP than other DE algorithms tested. It ...

Nov 26, 2020 · We propose evolution algorithm based automatic tuning as one feasible solution for energy-aware computing on many-core microprocessors.

Abstract—The need for energy-aware computing has become increasingly demanding. However, high-performance comput- ing is always users' pursuit.

Energy-aware automatic tuning on many-core platform via adaptive evolution ... A system for automatic composition using grammatical evolution is presented.

Our experimental results show that adaptive differential evolution algorithm is able to achieve reduced energy consumption as well as better energy-delay ...

Energy-aware automatic tuning on many-core platform via adaptive evolution. Open Webpage · Chen Liu, Zhiliu Yang, Yijun Jiang. Published: 31 Dec 2020, Last ...

Our experimental results show that adaptive differential evolution algorithm is able to achieve reduced energy consumption as well as better energy-delay ...

The Evolution rotary dyeing and spin-drying machine was designed for made-up garments and can be loaded and unloaded either automatically or semi-automatically.

Title: Energy-aware automatic tuning on many-core platform via adaptive evolution · Authors: Chen Liu, Zhiliu Yang, Yijun Jiang · Venue: Int. J. Embed. Syst. 2021 ...

SVM-JADE, a machine learning enhanced version of an adaptive differential evolution algorithm (JADE), is proposed, able to achieve energy-aware computing on ...