### Abstract

Original language | English |
---|---|

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 |
---|---|

Country | Korea, Democratic People's Republic of |

City | Jejudo Island |

Period | 4/06/01 → 6/06/01 |

### Fingerprint

### Keywords

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

### Cite this

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

}

*Proceedings of the 6th IFAC Symposium on Dynamics and Control of Process Systems.*pp. 632-637, 6th IFAC Symposium on Dynamics and Control of Process Systems, Jejudo Island, Korea, Democratic People's Republic of, 4/06/01.

**Optimal control of large-scale batch production by evolutionary computation.** / Hämäläinen, Jari; Parviainen, Olli.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Optimal control of large-scale batch production by evolutionary computation

AU - Hämäläinen, Jari

AU - Parviainen, Olli

PY - 2001

Y1 - 2001

N2 - 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.

AB - 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.

KW - batch control

KW - genetic algorithms

KW - scheduling algorithms

KW - supervisory control

KW - optimization

KW - industrial production systems

M3 - Conference article in proceedings

SP - 632

EP - 637

BT - Proceedings of the 6th IFAC Symposium on Dynamics and Control of Process Systems

A2 - Stephanopoulos, George

A2 - Lee, Jay

A2 - Yoon, En Sup

ER -