Smart Partitioning for Product DSM Model Based on Improved Genetic Algorithm

2014 ◽  
pp. 677-683
Author(s):  
Yangjie Zhou ◽  
Chao Che ◽  
Jianxin Zhang ◽  
Qiang Zhang ◽  
Xiaopeng Wei
Keyword(s):  
Genetic Algorithm ◽  
Improved Genetic Algorithm ◽  
Model Based

Design of international financial risk estimation model based on improved genetic algorithm

2021 ◽  
pp. 1-10
Author(s):  
Tianyu Mo
Keyword(s):  
Genetic Algorithm ◽  
Risk Management ◽  
Financial Institutions ◽  
Financial Risk ◽  
Risk Estimation ◽  
Accurate Estimation ◽  
Financial Risks ◽  
Improved Genetic Algorithm ◽  
Estimation Model ◽  
Model Based

The financial industry is developing rapidly, and risk management is an important part of the internal management of financial institutions. In order to accurately estimate international financial risks, improve the risk management performance of financial institutions, and ensure the sustainable development of the international financial market, an international financial risk estimation model based on improved genetic algorithms was designed, the value-at-risk model VAR model was selected to estimate the international financial risk by measuring the degree of economic loss, and the improved genetic algorithm was adopted to the seven parts of immature convergence to quickly obtain the VAR value of international financial risks, including initialize the population, real number coding, determine fitness function, selection operator, crossover operator, mutation operator and predict and process. Results show that the rapid estimation of international financial risks was realized, the designed model can achieve accurate estimation of international financial risks, and the time cost of financial risk estimation under different sample sizes is less than 500 ms.

scholarly journals A Novel E-Commerce Negotiation Optimization Model Based on Improved Genetic Algorithm

2012 ◽  
Vol 6-7 ◽  
pp. 566-570
Author(s):  
Yang Liu
Keyword(s):  
Genetic Algorithm ◽  
Electronic Commerce ◽  
Value Creation ◽  
Optimization Model ◽  
Improved Genetic Algorithm ◽  
Model Based ◽  
Proposed Model ◽  
Business Market ◽  
Major Player ◽  
The Relationship

Electronic commerce has rapidly become a major player in the business market .This paper proposes a new electronic commerce negotiation optimization model based on improved genetic algorithm which depends on not only price, but also other factors of commodity. The proposed model illustrates the relationship between the business components required to support the e-commerce processes with the value creation factor and the controlling complexity. The experiment results show that the proposed algorithm can gain the optimal negotiation result more efficiently than other three kinds of negotiation algorithms in competitive bilateral multi-issue negotiation.

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