TY - GEN
T1 - Energy adaptive immune genetic algorithm for collaborative design task scheduling in cloud manufacturing system
AU - Laili, Yuanjun
AU - Zhang, Lin
AU - Tao, Fei
PY - 2011
Y1 - 2011
N2 - A new manufacturing paradigm, i.e. Cloud Manufacturing (CMfg) has been proposed recently. In order to satisfy high efficiency and low cost collaborative design task scheduling in CMfg, a new energy adaptive immune genetic algorithm (EAIGA) was designed. With the introduction of potential energy storage and detection, the new algorithm can not only improve searching diversity based on immune strategy, but also adaptively adjust the probabilities of crossover and mutation with low time complexity. The experimental results demonstrate that the new algorithm can effectively solving collaborative design task scheduling problem with a good balance between searching diversification and intensification.
AB - A new manufacturing paradigm, i.e. Cloud Manufacturing (CMfg) has been proposed recently. In order to satisfy high efficiency and low cost collaborative design task scheduling in CMfg, a new energy adaptive immune genetic algorithm (EAIGA) was designed. With the introduction of potential energy storage and detection, the new algorithm can not only improve searching diversity based on immune strategy, but also adaptively adjust the probabilities of crossover and mutation with low time complexity. The experimental results demonstrate that the new algorithm can effectively solving collaborative design task scheduling problem with a good balance between searching diversification and intensification.
KW - adaptive immune genetic algorithm
KW - Collaborative design task scheduling
UR - https://www.scopus.com/pages/publications/84863054646
U2 - 10.1109/IEEM.2011.6118248
DO - 10.1109/IEEM.2011.6118248
M3 - 会议稿件
AN - SCOPUS:84863054646
SN - 9781457707391
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 1912
EP - 1916
BT - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011
T2 - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011
Y2 - 6 December 2011 through 9 December 2011
ER -