Research and Application of Supply Chain Distribution Optimization Model based on Improved Genetic Algorithm

2016 ◽  
Vol 9 (11) ◽  
pp. 411-420
Author(s):  
Yanrong Wang ◽  
Annan Chen
Keyword(s):  
Genetic Algorithm ◽  
Supply Chain ◽  
Optimization Model ◽  
Improved Genetic Algorithm ◽  
Model Based

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.

Layout Design of Naval Gun Magazine Based on Improved GA

2009 ◽  
Vol 419-420 ◽  
pp. 669-672
Author(s):  
Wei Fu ◽  
Sheng Hai Hu ◽  
Yang Ge
Keyword(s):  
Genetic Algorithm ◽  
Optimization Model ◽  
System Reliability ◽  
Layout Design ◽  
Mutation Operator ◽  
Improved Genetic Algorithm ◽  
Encoding Scheme ◽  
Performance Constraints ◽  
Naval Gun ◽  
Polygon Method

In this paper a magazine layout optimization model with performance constraints is described and the objective function and its constraints of magazine layout are established. A multiobjective optimizations layout model based on polygon method is put forward. The model deals with a series of constraints such as geometry constraints, in-and-out point position optimization, magazine capacity and system reliability and safety. An improved genetic algorithm (GA) is proposed in this paper based on the new encoding scheme and logical mutation operator. The algorithm solved the problem of multiobjective layout design with performance constraints.

Research on the Route Optimization as to Timing Uncertainty of Wartime Transportation

2014 ◽  
Vol 556-562 ◽  
pp. 5328-5332
Author(s):  
Lin Zhu ◽  
Xiao Dun ◽  
Can Shi Zhu
Keyword(s):  
Genetic Algorithm ◽  
Optimization Model ◽  
Traditional Method ◽  
Uncertain Parameter ◽  
Route Optimization ◽  
Objective Functions ◽  
Improved Genetic Algorithm ◽  
Routing Optimization ◽  
Timing Uncertainty ◽  
Pass Through

Affected with various factors in wartime, the time during which the transport vehicles of military supplies pass through a certain section of a route is an uncertain parameter, whose optimization objective functions and constraints cannot be defined and solved through the traditional method of deterministic planning. In response to the problem, a routing optimization model is put forward herein for the timing uncertainty of wartime transportation and a method is devised for the Improved Genetic Algorithm to solve the routing optimization model with respect to timing uncertainty. Examples are also cited to verify the rationality of the algorithm as well as the correctness of the model.

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