### Abstract

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.

Original language | English |
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Title of host publication | Advances in Multiple Objective and Goal Programming |

Editors | Rafael Rafael, Francisco Ruiz, Ralph Steuer |

Place of Publication | Berlin |

Publisher | Springer Science+Business Media |

Publication date | 1997 |

Pages | 338-346 |

ISBN (Print) | 9783540635994 |

ISBN (Electronic) | 9783642468544 |

Publication status | Published - 1997 |

Externally published | Yes |

Series | Lecture Notes in Economics and Mathematical Systems |
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Volume | 455 |

ISSN | 0075-8442 |

### Bibliographical note

CBS Library does not have access to the material### Cite this

*Advances in Multiple Objective and Goal Programming*(pp. 338-346). Berlin: Springer Science+Business Media. Lecture Notes in Economics and Mathematical Systems, Vol.. 455

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*Advances in Multiple Objective and Goal Programming.*Springer Science+Business Media, Berlin, Lecture Notes in Economics and Mathematical Systems, vol. 455, pp. 338-346.

**Location of a Semiobnoxious Facility : A Biobjective Approach.** / Carrizosa, Emilio; Conde, Eduardo; Romero Morales, Dolores .

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

TY - CHAP

T1 - Location of a Semiobnoxious Facility

T2 - A Biobjective Approach

AU - Carrizosa, Emilio

AU - Conde, Eduardo

AU - Romero Morales, Dolores

N1 - CBS Library does not have access to the material

PY - 1997

Y1 - 1997

N2 - 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.

AB - 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.

KW - Biobjective Optimization

KW - Semiobnoxious Facilities

KW - Branch & Bound

KW - α-dominance

M3 - Book chapter

SN - 9783540635994

SP - 338

EP - 346

BT - Advances in Multiple Objective and Goal Programming

A2 - Rafael, Rafael

A2 - Ruiz, Francisco

A2 - Steuer, Ralph

PB - Springer Science+Business Media

CY - Berlin

ER -