DocumentCode :
2741399
Title :
Simulated Annealing using an Adaptive Search Vector
Author :
Miki, Mitsunori ; Hiwa, Satoru ; Hiroyasu, Tomoyuki
Author_Institution :
Dept. of Eng., Doshisha Univ., Kyoto
fYear :
2006
fDate :
7-9 June 2006
Firstpage :
1
Lastpage :
6
Abstract :
It is reported that simulated annealing (SA), which changes one design variable at a time, is effective when applied to high-dimensional continuous optimization problems. However, if a correlation exists among the design variables, it is not efficient to search each dimension. In this paper, we propose SA with a mechanism to determine an appropriate search direction according to the landscape of the given problems. Its effectiveness is verified for high-dimensional problems with correlation among design variables
Keywords :
search problems; simulated annealing; adaptive search vector; high-dimensional continuous optimization problem; simulated annealing; Computational Intelligence Society; Cooling; Design engineering; Design optimization; Optimization methods; Probability distribution; Simulated annealing; Solid modeling; Temperature distribution; Testing; adaptive search vector; correlation among design variables; simulated annealing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cybernetics and Intelligent Systems, 2006 IEEE Conference on
Conference_Location :
Bangkok
Print_ISBN :
1-4244-0023-6
Type :
conf
DOI :
10.1109/ICCIS.2006.252256
Filename :
4017815
Link To Document :
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