Optimal Solution of Algorithms Survey

Chang Yuan; Zhang Zhi Yuan; Luo Jian; Qu Jing

doi:10.16670/j.cnki.cn11-5823/tu.2017.03.20

Citation: Chang Yuan, Zhang Zhi Yuan, Luo Jian, Qu Jing. Optimal Solution of Algorithms Survey. Journal of Information Technologyin Civil Engineering and Architecture, 2017, 9(3): 115-118. doi: 10.16670/j.cnki.cn11-5823/tu.2017.03.20

2017, 9(3): 115-118. doi: 10.16670/j.cnki.cn11-5823/tu.2017.03.20

Optimal Solution of Algorithms Survey

Chang Yuan ^1,, Zhang Zhi Yuan ^2,, Luo Jian ^1,, Qu Jing ^3,

1.	Beijing university of civil engineering and architecture, Beijing 100044, China
2.	China Academy of Building Research, Beijing 100013, China
3.	CABR Technology Co., Ltd., Beijing 100013, China

Web Publishing Date: 2017-06-01

This paper points out that the optimization of rebar cutting is a complex discrete combinatorial optimization problem, summarizes the Genetic Algorithm, simulates Annealing and Heuristic Algorithm that in broad usage as a method for combinatorial optimization, and discusses the characteristics of each method.Finally, we know that an individual algorithm find the optimal solution randomly and waste a lot of time, according to the literature in recent years.The method to solve the problem is to combine different algorithm in special condition, and this kind of algorithm is more efficient.

Key words: Rebar Cutting, Combinatorial Optimization, Genetic Algorithm, Simulated Annealing, Heuristic Algorithm

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