## Abstract

In the location of a semiobnoxious facility one has to consider both transportation and environmental (or social) costs to be optimized. Such objectives are modeled as functions of the distances to a set of demand points, leading to a biobjective optimization problem.

Since the usual solution set is in general infinite and so of dubious interest to Decision Makers, we propose as solution a finite feasible set representing the best compromise solutions. Such a finite set is obtained, using the concept of α-dominance, by a standard Global Optimization technique.

Since the usual solution set is in general infinite and so of dubious interest to Decision Makers, we propose as solution a finite feasible set representing the best compromise solutions. Such a finite set is obtained, using the concept of α-dominance, by a standard Global Optimization technique.

Originalsprog | Engelsk |
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Titel | Advances in Multiple Objective and Goal Programming |

Redaktører | Rafael Rafael, Francisco Ruiz, Ralph Steuer |

Udgivelsessted | Berlin |

Forlag | Springer Science+Business Media |

Publikationsdato | 1997 |

Sider | 338-346 |

ISBN (Trykt) | 9783540635994 |

ISBN (Elektronisk) | 9783642468544 |

Status | Udgivet - 1997 |

Udgivet eksternt | Ja |

Navn | Lecture Notes in Economics and Mathematical Systems |
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Vol/bind | 455 |

ISSN | 0075-8442 |

## Emneord

- Biobjective Optimization
- Semiobnoxious Facilities
- Branch & Bound
- α-dominance