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.
| Original language | English |
|---|---|
| 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 |
|---|---|
| Volume | 455 |
| ISSN | 0075-8442 |
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