Name
Title | ||
|---|---|---|
Genetic Algorithm Learning of Nash Equilibrium: Application on Price-QoS Competition in Telecommunications Market |
Abstract | ||
|---|---|---|
To select or change a service provider, customers use the best compromise between price and quality of service QoS. In this work, the authors formulate a game theoretic framework for the dynamical behaviors of Service Providers SPs. They share the same market and are competing to attract more customers to gain more profit. Due to the divergence of SPs interests, it is believed that this situation is a non-cooperative game of price and QoS. The game converges to an equilibrium position known Nash Equilibrium. Using Genetic Algorithms GAs, the authors find strategies that produce the most favorable profile for players. GAs are from optimization methods that have shown their great power in the learning area. Using these meta-heuristics, the authors find the price and QoS that maximize the profit for each SP and illustrate the corresponding strategy in Nash Equilibrium NE. They also show the influence of some parameters of the problem on this equilibrium. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.4018/JECO.2015070101 | JECO |
Keywords | Field | DocType |
Genetic Algorithms,Learning,Market Share Game,Nash Equilibrium,Pricing,QoS | Economics,Risk dominance,Epsilon-equilibrium,Price of stability,Best response,Microeconomics,Equilibrium selection,Price of anarchy,Solution concept,Nash equilibrium,Marketing | Journal |
Volume | Issue | ISSN |
13 | 3 | 1539-2937 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M'hamed Outanoute | 1 | 0 | 0.68 |
| Mohamed Baslam | 2 | 2 | 5.85 |
| Belaid Bouikhalene | 3 | 1 | 2.38 |