Title :
Granular Computing Based Sorting Method in Multi-Objective Optimization
Author :
Yan, Gaowei ; Xie, Gang ; Xie, Keming ; Lin, Tsau Young
Author_Institution :
Taiyuan Univ. of Technol., Taiyuan
Abstract :
This paper put forward dominance granule based multi-objective sorting algorithm (DGSA). The dominance granule can be obtained by the dominance relation in the information system and granular computing. It is the basis of multi-objective sorting and fitness assignment. Therefore, the dominance granule based multi-objective sorting algorithm is designed and reduces the computational complexity highly.
Keywords :
computational complexity; evolutionary computation; computational complexity; dominance granule based multiobjective sorting algorithm; fitness assignment; granular computing; information system; multiobjective optimization; Algorithm design and analysis; Computational complexity; Computer science; Design optimization; Educational institutions; Evolutionary computation; Forward contracts; Information systems; Optimization methods; Sorting;
Conference_Titel :
Granular Computing, 2007. GRC 2007. IEEE International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-0-7695-3032-1
DOI :
10.1109/GrC.2007.127