The University of Southampton
University of Southampton Institutional Repository

A genetic algorithm approach to a production distribution strategy with fuzzy due dates

A genetic algorithm approach to a production distribution strategy with fuzzy due dates
A genetic algorithm approach to a production distribution strategy with fuzzy due dates
276-281
Global Link International Limited
Wu, Y.
e279101b-b392-45c4-b894-187e2ded6a5c
Lai, K.K.
20379c9f-ac5f-4549-ab91-77722180b971
Lai, Kin Keung
9c369b98-74f9-44aa-8a5f-00675cea1f6b
Katai, Osamu
e357420d-d724-46fc-b9eb-abe7e86fc7e3
Mitsuo, Gen
f27fa01a-23dc-49e4-9587-730e45bd28da
Baoding, Liu
1adb0253-c132-452a-a562-de4915fb6d98
Wu, Y.
e279101b-b392-45c4-b894-187e2ded6a5c
Lai, K.K.
20379c9f-ac5f-4549-ab91-77722180b971
Lai, Kin Keung
9c369b98-74f9-44aa-8a5f-00675cea1f6b
Katai, Osamu
e357420d-d724-46fc-b9eb-abe7e86fc7e3
Mitsuo, Gen
f27fa01a-23dc-49e4-9587-730e45bd28da
Baoding, Liu
1adb0253-c132-452a-a562-de4915fb6d98

Wu, Y., Lai, K.K., Lai, Kin Keung, Katai, Osamu, Mitsuo, Gen and Baoding, Liu (2000) A genetic algorithm approach to a production distribution strategy with fuzzy due dates. In Proceedings of the Second Asia Pacific Conference on Genetic Algorithm and Applications. Global Link International Limited. pp. 276-281 .

Record type: Conference or Workshop Item (Paper)

This record has no associated files available for download.

More information

Published date: 2000
Organisations: Southampton Business School

Identifiers

Local EPrints ID: 36325
URI: http://eprints.soton.ac.uk/id/eprint/36325
PURE UUID: 7dd08178-db30-4d1c-80d5-03f5b08d0a37

Catalogue record

Date deposited: 28 Aug 2008
Last modified: 27 Feb 2024 02:42

Export record

Contributors

Author: Y. Wu ORCID iD
Author: K.K. Lai
Author: Kin Keung Lai
Author: Osamu Katai
Author: Gen Mitsuo
Author: Liu Baoding

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×