A hybrid genetic algorithm based on a two-level hypervolume contribution measure selection strategy for bi-objective flexible job shop problem
Alper Türkyılmaz, Ozlem Senvar, İrem Ünal, Serol Bulkan
| Year of publication: |
2022
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|---|---|
| Authors: | Türkyılmaz, Alper ; Senvar, Ozlem ; Ünal, İrem ; Bulkan, Serol |
| Published in: |
Computers & operations research : and their applications to problems of world concern ; an international journal. - Oxford [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 194012-0. - Vol. 141.2022, p. 1-21
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| Subject: | Bi-objective | Flexible job shop | Genetic algorithm | Heuristics | Hypervolume | Local multi-search | Pareto optimality | Tardiness | Evolutionärer Algorithmus | Evolutionary algorithm | Scheduling-Verfahren | Scheduling problem | Heuristik | Produktionssteuerung | Production control |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.cor.2021.105694 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013185137