### Abstract

The common mathematical programming approach to the
short-term scheduling and control of batch processes
often leads to non-standard NP-complete mixed integer
non-linear programming (MINLP) problems. It is shown that
the scheduling problem can also be formulated as an
optimal control problem. By the utilization of a
simulation model of the process optimal operational
schedules can then be found by the methods of
evolutionary computation. The new approach is
demonstrated by the optimization of the schedule of
batches in a model of a chemical process.

Original language | English |
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Title of host publication | Proceedings of the 6th IFAC Symposium on Dynamics and Control of Process Systems |

Editors | George Stephanopoulos, Jay Lee, En Sup Yoon |

Pages | 632-637 |

Publication status | Published - 2001 |

MoE publication type | A4 Article in a conference publication |

Event | 6th IFAC Symposium on Dynamics and Control of Process Systems - Jejudo Island, Korea, Democratic People's Republic of Duration: 4 Jun 2001 → 6 Jun 2001 |

### Conference

Conference | 6th IFAC Symposium on Dynamics and Control of Process Systems |
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Country | Korea, Democratic People's Republic of |

City | Jejudo Island |

Period | 4/06/01 → 6/06/01 |

### Keywords

- batch control
- genetic algorithms
- scheduling algorithms
- supervisory control
- optimization
- industrial production systems

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## Cite this

Hämäläinen, J., & Parviainen, O. (2001). Optimal control of large-scale batch production by evolutionary computation. In G. Stephanopoulos, J. Lee, & E. S. Yoon (Eds.),

*Proceedings of the 6th IFAC Symposium on Dynamics and Control of Process Systems*(pp. 632-637)