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
|
|---|---|
| Authors: | Jiang, En-da ; Wang, Ling |
| Subject: | decomposition | dynamic mating strategy | energy-efficient scheduling | local intensification | multi-objective evolutionary algorithm | sequence-dependent setup time | Scheduling-Verfahren | Scheduling problem | Durchlaufzeit | Lead time | Evolutionärer Algorithmus | Evolutionary algorithm | Theorie | Theory | Heuristik | Heuristics | Algorithmus | Algorithm |
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