Title :
Improved bees algorithm for the large-scale layout optimization without performance constraints
Author :
Li, Huanzhe ; Liu, Kunqi ; Li, Ning
Author_Institution :
Dept. of Comput. Sci., Shijiazhuang Univ. of Econ., Shijiazhuang, China
Abstract :
This paper proposes an improved bees algorithm and apply it to the large-scale layout optimization without performance constraints. Compared with the origin algorithm, the experimental results show that the performance of the improved algorithm is superior on the capability of global solution searching, this new algorithm can be used to handle the large-scale layout optimization without performance constraints problems.
Keywords :
optimisation; global solution searching; improved bees algorithm; large-scale layout optimization; Algorithm design and analysis; Barium; Layout; bees algorithm; evolutionary algorithms; layout optimization; performance constraints;
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.2010.5645169