An improved multi-objective evolutionary algorithm based on decomposition for energy-efficient permutation flow shop scheduling problem with sequence-dependent setup time
En-da Jiang and Ling Wang
| Year of publication: |
2019
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|---|---|
| Authors: | Jiang, En-da ; Wang, Ling |
| Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 57.2019, 6, p. 1756-1771
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| Subject: | decomposition | dynamic mating strategy | energy-efficient scheduling | local intensification | multi-objective evolutionary algorithm | sequence-dependent setup time | Theorie | Theory | Scheduling-Verfahren | Scheduling problem | Durchlaufzeit | Lead time | Evolutionärer Algorithmus | Evolutionary algorithm | Multikriterielle Entscheidungsanalyse | Multi-criteria analysis | Algorithmus | Algorithm | Heuristik | Heuristics |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/00207543.2018.1504251 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012183915