The Study of the Model of Site Selection for the Professional Team of Civil Air Defense

2013 ◽  
Vol 798-799 ◽  
pp. 873-876
Author(s):  
Wei Te Li ◽  
Xun Li Xu ◽  
Guo Qin Qiu ◽  
Nan Liu ◽  
Yin Huang
Keyword(s):  
Linear Programming ◽  
Simulated Annealing ◽  
Influencing Factors ◽  
Site Selection ◽  
Simulated Annealing Algorithm ◽  
Entropy Method ◽  
Air Defense ◽  
Annealing Algorithm ◽  
Selection For ◽  
Second Category

Site selection for the professional teams of civil air defense is an important part of layout of works for professional team of civil air defense. In this paper firstly analyze the main influencing factors of site selection. Then construct the model by the way of entropy method and multi-objective linear programming, which is optimized and solved by the Simulated annealing algorithm programming with Matlab. Finally we have an instance of civil air defense in a second category city to illuminate.

A New Solution for Maxterm Problem in Trigonometric Functions by Simulated Annealing Algorithm

2013 ◽  
Vol 4 (2) ◽  
pp. 20-28
Author(s):  
Farhad Soleimanian Gharehchopogh ◽  
Hadi Najafi ◽  
Kourosh Farahkhah
Keyword(s):  
Simulated Annealing ◽  
Simulated Annealing Algorithm ◽  
Trigonometric Functions ◽  
Matlab Software ◽  
Annealing Algorithm ◽  
Do So

The present paper is an attempt to get total minimum of trigonometric Functions by Simulated Annealing. To do so the researchers ran Simulated Annealing. Sample trigonometric functions and showed the results through Matlab software. According the Simulated Annealing Solves the problem of getting stuck in a local Maxterm and one can always get the best result through the Algorithm.

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