References

  1. E. Zitzler, K. Deb, T. Lothar, Comparison of multiobjective evolutionary algorithms: empirical results, Evol. Comput., 8 (2000) 173–195.
  2. 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.
  3. K.S. Lee, Z.W. Geem, A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice, Comput. Methods Appl. Mech. Eng., 194 (2004) 3902–3933.
  4. E. Sidiropoulos, Harmony search and cellular automata in spatial optimization, Appl. Math., 3 (2012) 1532–1537.
  5. M. Mahdavi, M. Fesanghary, E. Damangir, An improved harmony search algorithm for solving optimization problems, Appl. Math. Comput., 188 (2007) 1567–1579.
  6. M.T. Ayvaz, Application of Harmony Search algorithm to the solution of groundwater management models, Adv. Water Res., 32 (2009) 916–924.
  7. G. Wang, L. Guo, 2013, A novel hybrid bat algorithm with Harmony search for global numerical optimization, J. Appl. Math., 2013 (2013) 696491.
  8. A. Kaveh, S. Talatahari, Particle swarm optimizer, ant colony strategy and harmony search scheme hybridized for optimization of truss structures, Comput. Struct., 87 (2009) 267–283.
  9. S. Alaei, F. Khoshalhan, A hybrid cultural – harmony algorithm for multi-objective supply chain coordination, Sci. Iran. E, 22 (2015) 1227–1241.
  10. M. Fesanghary, M. Madhavi, M. Minary-Jolandan, Y. Alizadeh, Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems, Comput. Methods Appl. Mech. Eng., 197 (2008) 3018–3091.
  11. M.H. Mashinchi, M.A. Orgun, M. Mashinchi, W. Petrycz, Tabuharmony search-based approach to fuzzy-linear regression, IEEE Trans. Fuzzy Syst., 19 (2001) 432–448.
  12. J.A. Nelder, R. Mead, A simplex method for function minimization, Comput. J., 7 (1965) 308–313.
  13. S.S. Fan, Y. Liang, E. Zahara, A genetic algorithm and a particle swarm optimizer hybridized with Nelder-Mead simplex search, Comput. Ind. Eng., 50 (2004) 401–425.
  14. R. Chelouah, P. Siarry, Genetic and Nelder–Mead algorithms hybridized for a more accurate global optimization of continuous multiminima functions, Eur. J. Oper. Res., 148 (2003) 335–348.
  15. W.S. Jang, H.I. Kang, B.H. Lee, Hybrid Simplex-Harmony Search Method for Optimization Problems, IEEE Congress on Evolutionary Computation (CEC 2008) Proc., pp. 4157–4164.
  16. A. Manolis, E. Sidiropoulos, A harmony search hybrid for aquifer management, Proc. 12th International Conference on Protection and Restoration of the Environment, 2014, pp. 9–15.
  17. L.S. de Souza, R.B.C. Prudêncio, F.A. de Barros, A hybrid particle swarm optimization and harmony search algorithm approach for multi-objective test case selection, J. Braz. Comput. Soc., (2015) 21–29.
  18. Y. Li, X. Li, J.N.D. Gupta, Solving the multi-objective flow line manufacturing cell scheduling problem by hybrid harmony search, Expert Syst. Appl., 42 (2015) 1409–1417.
  19. H. Ghiasi, D. Pasini, L. Lessard, A non-dominated sorting hybrid algorithm for multi-objective optimization of engineering problems, Eng. Optim., 43 (2012), (39–59).
  20. W. Sheng, K. Liu, Y. Li, Y. Liu, X. Meng, Improved multiobjective harmony search algorithm with application to placement and sizing of distributed generation, Math. Prob. Eng., 2014 (2014) 871540.
  21. C. Huang, A.S. Mayer, Pump-and-treat optimization using well locations and pumping rates as decision variables, Water Resour. Res., 33 (1997) 1001–1012.
  22. S. Khalaf, M.I. Gad, Optimal well locations using genetic algorithm for Tushki Project, Western Desert, Egypt, Hydrol. Earth Syst. Sci., 11 (2014) 11395–11438.
  23. E. Sidiropoulos, P. Tolikas, Genetic algorithms and cellular automata in aquifer management. Appl. Math. Modell., 32 (2007) 617–640.
  24. C.M. Fonseca, P.J. Fleming, An overview of evolutionary algorithms in multiobjective optimization, Evol. Comput., 3 (1995) 1–16.
  25. F. Kursawe, A Variant of Evolution Strategies for Vector Optimization, Proc. 1st Workshop on Parallel Problem Solving from Nature, Vol. 496, 1991, pp. 193–197.
  26. K. Deb, Multi-Objective Optimization Using Evolutionary Algorithms, John Wiley & Sons, West Sussex 2001, pp. 327–328.