Abstract
Locating a semi-obnoxious facility, like an airport or correctional center is typically a bi-criterion problem combining a convex objective function representing minimum transportation cost with a multi-extremal objective function representing the non-desirable part of the facility. Generic one or bi-objective heuristic methods can be applied to generate efficient locations for the problem. We consider the location of one facility in the plane and show that a simple random or grid search with filtering already provides a very good picture of the trade-off between the two objectives. Moreover, we argue that instead of using bi-criterion meta-heuristics, one could better exploit the convex–nonconvex structure of the problem applying the constraint method. We show how to evaluate the methods systematically using several heuristics from literature.
Original language | English |
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Pages (from-to) | 205-217 |
Journal | Computational Optimization and Applications |
Volume | 61 |
DOIs | |
Publication status | Published - 2015 |
Keywords
- multiobjective optimization
- global optimization
- desirable facility
- search
- model