Research of Improved Simulated Annealing Optimization Algorithm Based on the Global Harmony Search Mechanism

Abstract:

The traditional simulated annealing algorithm adopts serial optimization structure, and it has the defects of slow annealing process, low computational efficiency and so on. On the basis of the traditional simulated annealing algorithm, the improved simulated annealing optimization algorithm with the global harmony search Mechanism is put forward, which can quicken convergence rate and raise search efficiency at the same time of ensuring algorithm to fall in the global optimal solution. In this paper, by using conventional optimization algorithm, traditional simulated annealing algorithm and the improved optimization algorithm to optimize the famous global optimization function, the results show that the improved optimization algorithm has the advantages of high computational efficiency, high computational accuracy, etc.

• Periodical: Advanced Materials Research (Volumes 482-484)
• Pages: 2500-2503
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.482-484.2500
• Online since: February 2012
• Authors: Jin Hua Zhang
• Keywords: Computational Accuracy, Global Harmony Search, Search Efficiency, Simulated Annealing Algorithm

References

[1] Wang Ling: Intelligent optimization algorithm and its application(Tsinghua University press, China 2001).

[2] Kang Lishan, Xie Yun, You Shiyong, et al: Non-Numerical parallel algorithm(Science press, China 2003).

[3] Chen Huagen, Wu Jiansheng, Wang Jialin, et al: Journal of Tongji University(Edition of Natural Science), Vol. 32(2004), p.802

[4] Geem Z W,KimJ H,Loganathan G V: Simulation, Vol. 76(2001) p.60

[5] Zhang Dongmei: Coal Technology, Vol. 30(2011), p.26

[6] Jin Jiangang, Liu Juqun: Science and Technology Consulting Herald, Vol. 28(2007), p.148