Application of genetic algorithms to determine the best combination of main and booster fans

Mahesh Kumar Shriwas
2015
T h e U n i v e r s i t y o f U t a h G r a d u a t e S c h o o l STATEMENT OF DISSERTATION APPROVAL The dissertation of Mahesh Kumar Shriwas has been approved by the following supervisory committee members: Felipe Calizaya , ABSTRACT One major challenge in mine ventilation is to determine the best combination of main and booster fan pressures to satisfy the airflow requirements and minimize the overall power consumption. This study presents a genetic algorithm-based program to solve mine
more » ... ation network problems. The program, written in C++ language, combines genetic algorithms (GAs, developed by MIT) and a ventilation simulator (xyz.c, developed by MVS Engineering). The program also known as GVENT is used to determine the best combination of main and booster fan pressures for a sample and a coal mine ventilation network.
doi:10.26053/0h-d96n-np00 fatcat:bpoorhw5jfgrrel7n5vsipj334