In: Journal of Hydrology and Hydromechanics, vol. 66, no. 3
Ali Hojjati - Mohsen Monadi - Alireza Faridhosseini - Mirali Mohammadi
Detaily:
Rok, strany: 2018, 323 - 329
Kľúčové slová:
NSGA-II; MOPSO; Multi-objective optimization; Flood control; Hydropower.
URL originálneho zdroja: http://www.ih.sav.sk/jhh
O článku:
Optimal operation of reservoir systems is the most important issue in water resources management. It presents
a large variety of multi-objective problems that require powerful optimization tools in order to fully characterize the existing
trade-offs. Many optimization methods have been applied based on mathematical programming and evolutionary
computation (especially heuristic methods) with various degrees of success more recently. This paper presents an implementation
and comparison of multi-objective particle swarm optimization (MOPSO) and non-dominated sorting genetic
algorithm II (NSGA-II) for the optimal operation of two reservoirs constructed on Ozan River catchment in order to
maximize income from power generation and flood control capacity using MATLAB software. The alternative solutions
were based on Pareto dominance. The results demonstrated superior capacity of the NSGA-II to optimize the operation
of the reservoir system, and it provides better coverage of the true Pareto front than MOPSO.
Ako citovať:
ISO 690:
Hojjati, A., Monadi, M., Faridhosseini, A., Mohammadi, M. 2018. Application and comparison of NSGA-II and MOPSO in multi-objective
optimization of water resources systems. In Journal of Hydrology and Hydromechanics, vol. 66, no.3, pp. 323-329. 0042-790X (until 2019) .
APA:
Hojjati, A., Monadi, M., Faridhosseini, A., Mohammadi, M. (2018). Application and comparison of NSGA-II and MOPSO in multi-objective
optimization of water resources systems. Journal of Hydrology and Hydromechanics, 66(3), 323-329. 0042-790X (until 2019) .