Optimization of network traffic in complex information and control systems using genetic algorithms
On the example of Kazan oil field found that to be an acceptable sampling frequency values ​​of process parameters using standard methods of the survey process parameters necessary to use a more productive by controller equipment and high-speed data transmission equipment. In this case, the decision significantly increases the amount of capital investment. In addition, this solution would require upgrading the existing system of automatic process control. Application of genetic algorithms allows to organize a system of process control Kazan field that provides acceptable results with the use of cheaper equipment and high-speed data transmission equipment. Transfer of data from existing well pads can be performed using less efficient equipment based data radio modems Integra. The application of the method to optimize network traffic by using genetic algorithms is possible not only to the newly designed sites but also on existing systems by conducting re-engineering of existing systems. This allows the system upgrade data transmission apparatus without substantial reconstruction.