scholarly journals A procedure for formulation of multi-objective optimisation problems in complex water resources systems

2018 ◽  
Vol 66 (3) ◽  
pp. 323-329 ◽  
Author(s):  
Ali Hojjati ◽  
Mohsen Monadi ◽  
Alireza Faridhosseini ◽  
Mirali Mohammadi

Abstract 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.


Eos ◽  
1971 ◽  
Vol 52 (6) ◽  
pp. IUGG305
Author(s):  
Harry E. Schwarz

2012 ◽  
Vol 472-473 ◽  
pp. 277-286 ◽  
Author(s):  
Simone Bizzi ◽  
Francesca Pianosi ◽  
Rodolfo Soncini-Sessa

Sign in / Sign up

Export Citation Format

Share Document