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doi: 10.3934/jimo.2021112
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## Determining optimal marketing and pricing policies by considering customer lifetime network value in oligopoly markets

 Department of Industrial Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran

* Corresponding author: Sahar Vatankhah

Received  November 2020 Revised  April 2021 Early access June 2021

Citation: Sahar Vatankhah, Reza Samizadeh. Determining optimal marketing and pricing policies by considering customer lifetime network value in oligopoly markets. Journal of Industrial & Management Optimization, doi: 10.3934/jimo.2021112
##### References:

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##### References:
The model of this study
]">Figure 2.  The Genetic Algorithm procedure [33]
Number of buyers and the number of sellers of company 1 in 30 months
Number of buyers and the number of sellers of company 1 in 30 months
Number of buyers and the number of sellers of company 3 in 30 months
Number of buyers and the number of sellers of company 3 in 30 months
Number of buyers and the number of sellers of company 3 in 30 months
literature review
The input parameters value
 $M^{B}=1000000M^{S}=300000$ $B_1=0.5$ $c_1=0.5$ $b_2=0.5$ $c_2=0.5$ $N_0^{B_1}=N_0^{B_2}=N_0^{B_3}=20$ $N_0^{S_1}=N_0^{S_2}=N_0^{S_3}=20$ $r_1=r_2=r_3=0.6$ alfaP=0.1 alfaA=0.1 $c_1=c_2=c_3=0.6$ alfapi=1 alfaAi=1
 $M^{B}=1000000M^{S}=300000$ $B_1=0.5$ $c_1=0.5$ $b_2=0.5$ $c_2=0.5$ $N_0^{B_1}=N_0^{B_2}=N_0^{B_3}=20$ $N_0^{S_1}=N_0^{S_2}=N_0^{S_3}=20$ $r_1=r_2=r_3=0.6$ alfaP=0.1 alfaA=0.1 $c_1=c_2=c_3=0.6$ alfapi=1 alfaAi=1