[1] |
Bazarra, M. S.; Shetty, L. M.: Nonlinear programming: theory and algorithms. 373-378 (1979) |

[2] |
Fung, R. Y. K.; Tang, J. F.; Wang, D.: Extension of a hybrid genetic algorithm for nonlinear programming problems with equality and inequality constraints. Computers and operations research 29, 261-274 (2002) · Zbl 1091.90085 |

[3] |
Li, Y.; Gen, M.: Non-linear mixed integer programming problems using genetic algorithm and penalty function. Proceedings of 1996 IEEE int. Conf. on SMC, 2677-2682 (1996) |

[4] |
Takao, Y.; Gen, M.; Takeaki, T.; Li, Y.: A method for interval 0--1 number non-linear programming problems using genetic algorithm. Computers and industrial engineering 29, 531-535 (1995) |

[5] |
Tang, J. F.; Wang, D.: A hybrid genetic algorithm for a type of nonlinear programming problem. Computers math. Applic. 36, No. 5, 11-21 (1998) · Zbl 0941.90068 |

[6] |
Su, J.; Hu, A.; He, Z.: Solving a kind of nonlinear programming problems via analog neural networks. Neurocomputing 18, 1-9 (1998) |

[7] |
Wang, Z. L.; Qiu, L.; Fu, Q.; Liang, C.: Application of chaos optimization algorithm to nonlinear constrained programming (in chinese). Journal of north China institute of water conservancy and hydroelectric power 23, No. 2, 1-3 (2002) |

[8] |
Dorigo, M.; Maniezzo, V.; Colori, A.: Ant system: optimization by a colony of cooperating agents. IEEE trans on system, man, and cybernetics 26, No. 1, 28-41 (1996) |

[9] |
Yan, L. X.; Ma, D.: Global optimization of non-convex nonlinear programs using line-up competition algorithm. Computers and chemical engineering 25, 1601-1610 (2001) |

[10] |
Glover, F.: Genetic algorithm and tabu search: hybrid for optimizations. Computers and operations research 22, 111-134 (1995) · Zbl 0813.90093 |

[11] |
Lin, T. C.: Applying the genetic approach to simulated annealing in solving some NP-hard problems. IEEE trans. On SMC 23, 1752-1766 (1993) |

[12] |
Ostermark, R.: Solving a nonlinear non-convex trim loss problem with a genetic hybrid algorithm. Computers and operations research 26, 623-635 (1999) · Zbl 0933.90048 |

[13] |
Kennedy, J.; Eberhart, R.: Particle swarm optimization. Proc. IEEE int. Conf. on neural networks (1995) |

[14] |
Eberhart, R.; Kennedy, J.: A new optimizer using particle swarm theory. Proc. 6th int. Symposium on micro machine and human science (1995) |

[15] |
Shi, Y.; Eberhart, R.: A modified particle swarm optimizer. Proc. IEEE int. Conf. on evolutionary computation, 69-73 (1998) |

[16] |
Kennedy, J.; Spears, W. M.: Matching algorithms to problems: an experimental tests of the particle swarm and some genetic algorithms on the multimodal problem generator. Proc IEEE int conf on evolutionary computation, 78-83 (1998) |

[17] |
Xie, X. F.; Zhang, W. J.; Ruan, J.; Yang, Z. L.: Genetic algorithm for constrained nonlinear programming problems (in chinese). Computer engineering and application 21, 64-67 (2002) |

[18] |
Back, T.: Evolutionary algorithms in theory and practice. (1996) |

[19] |
Liu, B. D.; Zhao, R.: Stochastic programming and fuzzy programming (in chinese). 26-33 (2001) |

[20] |
Tang, J. F.; Yung, K. L.; Ip, A. W. H.: Heuristics-based integrated decision for logistic networks systems. Journal of manufacturing systems 23, No. 1, 1-13 (2004) |

[21] |
Millonas, M. M.: Swarms, phase transition, and collective intelligence. Artificial life III (1994) |

[22] |
Suganthan, P. N.: Particle swarm optimizer with neighbourhood operator [A]. Proc of the congress on evolutionary computation [C], 1958-1962 (1999) |

[23] |
Shi, Y. F.; Eberhart, R.: Parameter selection in particle swarm optimization. Proc. of the 7th annual conf. On evolutionary programming, 591-600 (1998) |