global continuous optimization
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2020 ◽  
Vol 149 ◽  
pp. 113340 ◽  
Author(s):  
Jinran Wu ◽  
You-Gan Wang ◽  
Kevin Burrage ◽  
Yu-Chu Tian ◽  
Brodie Lawson ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Wanli Xiang ◽  
Xuelei Meng ◽  
Meiqing An

Parameter estimation of chaotic systems plays a key role for control and synchronization of chaotic systems. At first, the parameter estimation of chaotic systems is mathematically formulated as a global continuous optimization problem. Then through integrating two differential mutation strategies, an improved greedy selection mechanism and a population diversity balance scheme, an alternate iterative differential algorithm, called AIDE, is presented to solve the problem in this paper. Subsequently, experiments are tested on a set of cases of parameter estimation of chaotic systems and the results show that AIDE is better than or at least equal to DE/rand/1/bin, DE/best/1/bin, and other four well-known algorithms in all cases.


Author(s):  
Emerson Hochsteiner De Vasconcelos Segundo ◽  
Anderson Levati Amoroso ◽  
Viviana Cocco Mariani ◽  
Leandro Dos Santos Coelho

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