Multi-objective evolutionary algorithms for a reliability location problem
| Autor: | Juan F. Monge, Javier Alcaraz, Jose L. Sainz-Pardo, Mercedes Landete |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
050210 logistics & transportation
Mathematical optimization 021103 operations research Information Systems and Management General Computer Science Computer science Reliability (computer networking) 05 social sciences 0211 other engineering and technologies Evolutionary algorithm 02 engineering and technology Function (mathematics) Management Science and Operations Research Industrial and Manufacturing Engineering Weighting Set (abstract data type) Order (exchange) Modeling and Simulation 0502 economics and business Metaheuristic |
| Zdroj: | European Journal of Operational Research. 283:83-93 |
| ISSN: | 0377-2217 |
| Popis: | Some location problems with unreliable facilities present two different objectives, one consisting of minimizing the opening and transportation costs if none of the facilities fail and another consisting of minimizing the expected transportation costs. Usually, these different targets are combined in a single objective function and the decision maker can obtain some different solutions weighting both objectives. However, if the decision maker prefers to obtain a diverse set of non-dominated optimal solutions, then such procedure would not be effective. We have designed and implemented two multi-objective evolutionary algorithms for the realibility fixed-charge location problem by exploiting the peculiarities of this problem in order to obtain sets of solutions that are properly distributed along the Pareto-optimal frontier. The computational results demonstrate the outstanding efficiency of the proposed algorithms, although they present clear differences. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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