Minimization of Systemic Risk for Directed Network Using Genetic Algorithm

2017 ◽  
pp. 3-16 ◽  
Author(s):  
Wenshuo Guo ◽  
Kwok Yip Szeto
Keyword(s):  
Genetic Algorithm ◽  
Systemic Risk ◽  
Directed Network

Measuring Systemic Risk Contagion Effect of the Banking Industry in China: A Directed Network Approach

2020 ◽  
Vol 56 (6) ◽  
pp. 1312-1335
Author(s):  
Zi-Sheng Ouyang ◽  
Ying Huang ◽  
Yun Jia ◽  
Chang-Qing Luo
Keyword(s):  
Systemic Risk ◽  
Banking Industry ◽  
Directed Network ◽  
Contagion Effect ◽  
Network Approach

The ground state energy of the ±J spin glass from the genetic algorithm

1994 ◽  
Vol 4 (9) ◽  
pp. 1281-1285 ◽  
Author(s):  
P. Sutton ◽  
D. L. Hunter ◽  
N. Jan
Keyword(s):  
Genetic Algorithm ◽  
Spin Glass ◽  
Ground State Energy ◽  
Ground State ◽  
State Energy

Macroprudential Policy Instruments of Central Banks

2012 ◽  
pp. 32-47
Author(s):  
S. Andryushin ◽  
V. Kuznetsova
Keyword(s):  
Systemic Risk ◽  
Financial Stability ◽  
Financial System ◽  
Policy Instruments ◽  
Central Banks ◽  
Macroprudential Policy ◽  
Policy Studies ◽  
The Future ◽  
Financial Cycles

The paper analyzes central banks macroprudencial policy and its instruments. The issues of their classification, option, design and adjustment are connected with financial stability of overall financial system and its specific institutions. The macroprudencial instruments effectiveness is evaluated from the two points: how they mitigate temporal and intersectoral systemic risk development (market, credit, and operational). The future macroprudentional policy studies directions are noted to identify the instruments, which can be used to limit the financial systemdevelopment procyclicality, mitigate the credit and financial cycles volatility.

A Comparative Study of Ant and Genetic Algorithms in Digital Mammography

2018 ◽  
pp. 194-200
Author(s):  
J. Magelin Mary ◽  
Chitra K. ◽  
Y. Arockia Suganthi
Keyword(s):  
Genetic Algorithm ◽  
Image Processing ◽  
Medical Image ◽  
Medical Image Processing ◽  
Processing Technique ◽  
Input Image ◽  
Image Processing Technique ◽  
Computational Time ◽  
Image Mining ◽  
The Individual

Image processing technique in general, involves the application of signal processing on the input image for isolating the individual color plane of an image. It plays an important role in the image analysis and computer version. This paper compares the efficiency of two approaches in the area of finding breast cancer in medical image processing. The fundamental target is to apply an image mining in the area of medical image handling utilizing grouping guideline created by genetic algorithm. The parameter using extracted border, the border pixels are considered as population strings to genetic algorithm and Ant Colony Optimization, to find out the optimum value from the border pixels. We likewise look at cost of ACO and GA also, endeavors to discover which one gives the better solution to identify an affected area in medical image based on computational time.

Sign in / Sign up

Export Citation Format

Share Document