Abstract
ABSTRACT A bi-objective genetic programming (BO-GP) algorithm is developed and applied to optimize the operating rules of the Aidoghmoush reservoir (East Azerbaijan in northeastern Iran). The two-objective optimization problem maximizes reservoir reliability and minimizes the vulnerability index associated with the supply of agricultural water. The developed BO-GP algorithm calculates Pareto possibility frontiers representing loci of optimal operating policies. Any operation policy is calculated by the BO-GP based on the inflow volume to reservoir, the storage volume, and the water demand volume that minimize vulnerability and maximize reliability. The application results show a successful performance of the BO-GP algorithm in solving the bi-objective water supply problem with reservoir operation. This paper’s results establish that the system vulnerability and its reliability range between 16–41% and 46–78%, respectively.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
