DocumentCode
305381
Title
Simulation annealing algorithm with knowledge of imprecision and uncertainty
Author
Chaoyang, Liu
Author_Institution
Sch. of Econ. & Manage., Tsinghua Univ., Beijing, China
Volume
3
fYear
1996
fDate
14-17 Oct 1996
Firstpage
1925
Abstract
This paper suggests a way for the simulation algorithm (SA) to take advantage of knowledge with imprecision and uncertainty about the optimal solution. The convergence to the global extremum is guaranteed even with erroneous knowledge. Computational results show that the SA integrated with knowledge promise to outperform the convenient SA
Keywords
convergence; knowledge engineering; search problems; simulated annealing; uncertainty handling; erroneous knowledge; global extremum; guaranteed convergence; imprecision; simulated annealing; simulation annealing algorithm; uncertainty; Chaos; Computational modeling; Cooling; Knowledge management; Partial response channels; Probability distribution; Sampling methods; Simulated annealing; Temperature distribution; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location
Beijing
ISSN
1062-922X
Print_ISBN
0-7803-3280-6
Type
conf
DOI
10.1109/ICSMC.1996.565412
Filename
565412
Link To Document