References
   -  N. Lior, Membrane-Distillation Desalination: Status and
    Potential, 17th International Congress of Chemical and Process
    Conference, Prague, Czech Republic, August 27–31, 2006. 
 
  -  F. Boltz, How Do We Prevent Today’s Water Crisis Becoming
    Tomorrow’s Catastrophe?, The World Economic Forum,
    23 March 2017. 
 
  -  International Desalination Association. Available at: www.
    idadesal.org. 
 
  -  E. Jones, M. Qadir, M.T.H. van Vliet, V. Smakhtin, S.-m. Kang,
    The state of desalination and brine production: a global outlook,
    Sci. Total Environ., 657 (2019) 1343–1356. 
 
  -  M. Ben Ali, L. Kairouani, Multi-objective optimization of
    operating parameters of a MSF-BR desalination plant using
    solver optimization tool of Matlab software, Desalination,
    381 (2016) 71–83. 
 
  -  M. Ben Ali, L. Kairouani, Improvement of performance
    indicators of multistage flash desalination plant using genetic
    algorithms, Water Desal. Res. J., 1 (2017) 45–55. 
 
  -  H.B. Harandi, M. Rahnama, E.J. Javaran, A. Asadi, Performance
    optimization of a multi stage flash desalination unit with
    thermal vapor compression using genetic algorithm, Appl.
    Therm. Eng., 123 (2017) 1106–1119. 
 
  -  M.S. Tanvir, I.M. Mujtaba, Optimisation of design and
    operation of MSF desalination process using MINLP technique
    in gPROMS, Desalination, 222 (2008) 419–430. 
 
  -  C.S. Bandi, R. Uppaluri, A. Kumar, Global optimization of MSF
    seawater desalination processes, Desalination, 394 (2016) 30–43. 
 
  -  M. Abduljawad, U. Ezzeghni, Optimization of Tajoura MSF
    desalination plant, Desalination, 254 (2010) 23–28. 
 
  -  F.L. Mastro, M. Mistretta, Thermoeconomic analysis of a coupled
    municipal solid waste thermovalorization–MSF desalination
    plant: an Italian case study, Desalination, 196 (2006) 293–305. 
 
  -  H. El-Dessouky, H. Ettouney, H. Al-Fulaij, F. Mandani,
    Multistage flash desalination combined with thermal vapor
    compression, Chem. Eng. Process., 39 (2000) 343–356. 
 
  -  H. Al-Fulaija, A.B. Cipollina, D. Bogle, H. Ettouney, Once
    through multistage flash desalination: gPROMS dynamic and
    steady state modeling, Desal. Water Treat., 18 (2010) 46–60. 
 
  -  H.T. El-Dessouky, H.M. Ettouney, Fundamentals of Salt Water
    Desalination, Elsevier Science Ltd., Amsterdam, 2002. 
 
  -  E.A.M. Hawaidi, I.M. Mujtaba, Simulation and optimization of
    MSF desalination process for fixed freshwater demand: impact
    of brine heater fouling, Chem. Eng. J., 165 (2010) 545–553. 
 
  -  A.M. El-Nashar, Optimization of operating parameters of
    MSF plants through automatic setpoint control, Desalination,
    116 (1998) 89–107. 
 
  -  A.I. Khuri, M. Conlon, Simultaneous optimization of multiple
    responses represented by polynomial regression functions,
    Technometrics, 23 (1981) 363–375. 
 
  -  N. Jose, S. Sengupta, J.K. Basu, Optimization of oxidative
    desulfurization of thiophene using Cu/titanium silicate-1 by
    box-behnken design, Fuel, 90 (2011) 626–632. 
 
  -  M.H. Khoshgoftar Manesh, M. Amidpour, Multi-objective
    thermoeconomic optimization of coupling MSF desalination
    with PWR nuclear power plant through evolutionary
    algorithms, Desalination, 249 (2009) 1332–1344. 
 
  -  C.A.C. Coello, A comprehensive survey of evolutionary-based
    multiobjective optimization techniques, Knowl. Inf. Syst.,
    1 (1999) 269–308. 
 
  -  C.A.C. Coello, An Updated Survey of Evolutionary Multiobjective
    Optimization Techniques: State of the Art and Future
    Trends, Proceedings of the 1999 Congress on Evolutionary
    Computation-CEC99, IEEE, Washington, DC, USA, July 6–9
    1999. 
 
  -  C.A.C. Coello, An updated survey of GA-based multiobjective
    optimization techniques, ACM Comput. Surv., 32 (2000)
    109–143. 
 
  -  C.M. Fonseca, P.J. Fleming, Genetic Algorithms for Multiobjective
    Optimization: Formulation, Discussion and
    Generalization, Proceedings of ICGA-93: Fifth International
    NEA Non-Equilibrium Allowance, Genetic Algorithms, Morgan
    Kaufmann, Urbana-Champaign, IL, USA, July 17–22 1993. 
 
  -  C.M. Fonseca, P.J. Fleming, Multiobjective Genetic Algorithms,
    IEE Colloquium on Genetic Algorithms for Control Systems
    Engineering (Digest No. 1993/130), IET, London, UK,
    May 28 1993, p. 21. 
 
  -  C.M. Fonseca, P.J. Fleming, Multiobjective optimization and
    multiple constraint handling with evolutionary algorithms. II.
    Application example, IEEE Trans. Syst. Man Cybern. Part A
    Syst. Humans, 28 (1998) 38–47. 
 
  -  M.T. Jensen, Reducing the run-time complexity of multiobjective
    EAs: the NSGA-II and other algorithms, IEEE Trans. Evol.
    Comput., 7 (2003) 503–515. 
 
  -  X.J. Lei, Z.K. Shi, Overview of multi-objective optimization
    methods, J. Syst. Eng. Electron., 15 (2004) 142–146. 
 
  -  J.-E. Yang, M.-J. Hwang, T.-Y. Sung, Y. Jin, Application of genetic
    algorithm for coded variables Xi reliability allocation in nuclear
    power plants, Reliab. Eng. Syst. Saf., 65 (1999) 229–238. 
 
  -  G. Tsatsaronis, Thermoeconomic analysis and optimization of
    energy system, Prog. Energy Combust. Sci., 19 (1993) 227–257. 
 
  -  J. Horn, N. Nafpliotis, D.E. Goldberg, A Niched Pareto Genetic
    Algorithm for Multiobjective Optimization, Proceedings of the
    First IEEE Conference on Evolutionary Computation. IEEE
    World Congress on Computational Intelligence, IEEE, Orlando,
    FL, USA, June 27–29 1994. 
 
  -  N. Srinivas, K. Deb, Multiobjective optimization using
    nondominated sorting in genetic algorithms, J. Evol. Comput.
    2 (1994) 221–248. 
 
  -  T. Murata, H. Ishibuchi, MOGA: Multi-Objective Genetic
    Algorithms, Proceedings of 1995 IEEE International Conference
    on Evolutionary Computation, IEEE, Perth, Australia, 1995,
    pp. 289–294. 
 
  -  E. Zitzler, L. Thiele, Multiobjective evolutionary algorithms: a
    comparative case study and the strength Pareto approach, IEEE
    Trans. Evol. Comput., 3 (1999) 257–271. 
 
  -  J.D. Knowles, D.W. Corne, Approximating the nondominated
    front using the Pareto archived evolution strategy, Evol.
    Comput., 8 (1999) 149–172. 
 
  -  K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, A fast and elitist
    multiobjective genetic algorithm: NSGA-II, IEEE Trans. Evol.
    Comput., 6 (2002) 182–197. 
 
  -  Matlab Documentation. Available at: http://www.mathworks.
    com/help/gads/gamultiobj.html.