1. bookVolume 66 (2018): Edizione 3 (September 2018)
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Rivista
eISSN
1338-4333
Prima pubblicazione
28 Mar 2009
Frequenza di pubblicazione
4 volte all'anno
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Inglese
access type Accesso libero

Application and comparison of NSGA-II and MOPSO in multi-objective optimization of water resources systems

Pubblicato online: 14 Aug 2018
Volume & Edizione: Volume 66 (2018) - Edizione 3 (September 2018)
Pagine: 323 - 329
Ricevuto: 28 Dec 2016
Accettato: 19 Sep 2017
Dettagli della rivista
License
Formato
Rivista
eISSN
1338-4333
Prima pubblicazione
28 Mar 2009
Frequenza di pubblicazione
4 volte all'anno
Lingue
Inglese
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.

Keywords

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