Recycling scheduling of urban damaged shared bicycles based on improved genetic algorithm
Year of publication: |
2019
|
---|---|
Authors: | Liang, Xuedong ; Si, Guangsen ; Jiao, Leilei ; Li, Zhi |
Published in: |
International journal of logistics : research and applications. - London [u.a.] : Taylor & Francis, ISSN 1469-848X, ZDB-ID 2020197-7. - Vol. 22.2019, 6, p. 519-532
|
Subject: | improved genetic algorithm | Pareto Principle | resource constraint | Reverse logistics | uncertain damage degree | Evolutionärer Algorithmus | Evolutionary algorithm | Theorie | Theory | Betriebliche Kreislaufwirtschaft | Scheduling-Verfahren | Scheduling problem | Kreislaufwirtschaft | Recycling | Mathematische Optimierung | Mathematical programming |
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