The Use of Genetic Algorithm and Annealing Algorithm for The Optimization of Dimension Chain
Authors
Haiming Kan, Haibin Li, Jie Liu, Weilong Zhang
Corresponding Author
Haiming Kan
Available Online August 2012.
- DOI
- 10.2991/iccasm.2012.262How to use a DOI?
- Keywords
- dimension chain, SG algorithm, parallelism,optimize
- Abstract
The error accumulation is currently working procedure dimension chain, an important problem in the increasing of the error will reduce production speed and increase production cost. Traditional mode of production in production efficiency and production cost above tend to attend. This paper using Simulated Annealing (SA) algorithm and genetic algorithm (GA) combination of mixed Simulated annealing and Genetic algorithm (SG algorithm), put genetic algorithm's parallelism into annealing algorithm, thus improving annealing algorithm in computational speed. In a certain extent to optimize dimension chain, reduce error accumulation calculation speed, reduce production cost.
- Copyright
- © 2012, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Haiming Kan AU - Haibin Li AU - Jie Liu AU - Weilong Zhang PY - 2012/08 DA - 2012/08 TI - The Use of Genetic Algorithm and Annealing Algorithm for The Optimization of Dimension Chain BT - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012) PB - Atlantis Press SP - 1033 EP - 1035 SN - 1951-6851 UR - https://doi.org/10.2991/iccasm.2012.262 DO - 10.2991/iccasm.2012.262 ID - Kan2012/08 ER -