Spatial scheduling strategy for irregular curved blocks based on the modified genetic ant colony algorithm (MGACA) in shipbuilding
Yan Ge and Aimin Wang
| Year of publication: |
1-15 May 2018
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|---|---|
| Authors: | Ge, Yan ; Wang, Aimin |
| Published in: |
International journal of production research. - London : Taylor & Francis, ISSN 0020-7543, ZDB-ID 160477-6. - Vol. 56.2018, 9 (1/15.5.), p. 3099-3115
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| Subject: | curved block | spatial scheduling | the lowest centre-of-gravity rule | the local optimal solution | the global optimal solution | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Scheduling-Verfahren | Scheduling problem | Algorithmus | Algorithm | Evolutionärer Algorithmus | Evolutionary algorithm |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/00207543.2017.1402135 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011887555