Title :
MLBM: Machine-learning-based minimization algorithm for boolean functions
Author :
Lin, Yuan ; Geng, Ruiping
Author_Institution :
Dept. of Comput. Sci. & Technol., Minzu Univ. of China, Beijing, China
Abstract :
This paper presents a novel approach to two-level logic minimization based on a special machine learning method created by the author. The approach is fast, without limitation of variable number and can always give an excellent result in optimization.
Keywords :
Boolean functions; circuit optimisation; learning (artificial intelligence); logic circuits; minimisation; boolean function; machine-learning-based minimization algorithm; two-level logic minimization; Algorithm design and analysis; Boolean functions; Computer science; Industrial electronics; Learning systems; Machine learning algorithms; Minimization methods; Paper technology; Time measurement; Watches;
Conference_Titel :
Industrial Electronics, 2009. ISIE 2009. IEEE International Symposium on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-4347-5
Electronic_ISBN :
978-1-4244-4349-9
DOI :
10.1109/ISIE.2009.5215879
