UAV-based Odor Source Localization in Multi-Building Environments Using Simulated Annealing Algorithm

2020 ◽  
Author(s):  
Zi-Zhen Yang ◽  
Tao Jing ◽  
Qing-Hao Meng
Keyword(s):  
Simulated Annealing ◽  
Source Localization ◽  
Simulated Annealing Algorithm ◽  
Odor Source ◽  
Annealing Algorithm

Simulated Annealing Algorithm Based Single Robot Odor Source Localization Strategy

2014 ◽  
Vol 494-495 ◽  
pp. 1286-1289
Author(s):  
Shi Gang Cui ◽  
Guang Ming Zeng ◽  
Fan Liang ◽  
Jiang Lei Dong
Keyword(s):  
Simulated Annealing ◽  
Source Localization ◽  
Simulated Annealing Algorithm ◽  
Optimal Solution ◽  
Local Maximum ◽  
Function Optimization ◽  
Odor Source ◽  
Gas Source Localization ◽  
Plume Tracing ◽  
Annealing Algorithm

This paper presents a search strategy for single mobile robots to realize the active olfaction (also called odor/gas source localization or plume tracing). The odor source localization is regarded as a kind of dynamic function optimization problem in this article, using the simulated annealing algorithm to calculate the optimal solution of density distribution function, namely the odor source location. The simulation experiments results in indoor ventilated environment show that the robot can track in plume and locate the odor source under the area of the 10m*10m, and it can effectively jump out of local maximum values in the process of search.

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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