Title :
Improved differential evolution algorithm used for load distribution of hot strip rolling
Author :
Feng Yao ; Weidong Yang
Author_Institution :
Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
Abstract :
To solve the problem that standard differential evolution algorithm is easy to premature convergence, here gives a new variant form-self-disturbance variation, and takes some improvement to it. New mutation could maintain the diversity of population, and the improvement could increase convergence speed. The improved method achieves performance improvement, and does not increase the time complexity of the original algorithm. Then, it is applied to the calculation of hot rolling load distribution.
Keywords :
genetic algorithms; hot rolling; load distribution; evolutionary computation technique; hot strip rolling; improved differential evolution algorithm; load distribution; performance improvement; real-coded genetic algorithm; variant form-self-disturbance variation; Ice; differential evolutional algorithm; hot strip mills; load distribution; self-disturbance variation;
Conference_Titel :
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-6437-1
DOI :
10.1109/BICTA.2010.5645180