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