The Use of Genetic Algorithm and Annealing Algorithm for The Optimization of Dimension Chain

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/).

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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  -