Meta-heuristics to optimise complex FIFO (fly-in-fly-out) workforce roster modelling in the mining sector

Bermingham, L; Lee, K; Myers, Trina

Meta-heuristics to optimise complex FIFO (fly-in-fly-out) workforce roster modelling in the mining sector

conference contribution

posted on 2024-06-03, 01:34 authored by L Bermingham, K Lee, Trina MyersTrina Myers

Meta-heuristics to optimise complex FIFO (fly-in-fly-out) workforce roster modelling in the mining sector

History

Pagination

521-525

Location

Taipei, Taiwan

Start date

2015-11-24

End date

2015-11-27

ISSN

2164-2508

ISBN-13

9781467393225

Language

eng

Publication classification

E1.1 Full written paper - refereed

Title of proceedings

ISKE 2015 : Proceedings of the 10th International Conference on Intelligent Systems and Knowledge Engineering

Event

Intelligent Systems and Knowledge Engineering. Conference. (2015 : 10th : Taipei, Taiwan)

Publisher

IEEE

Place of publication

Piscataway, N.J.

Series

International Conference on Knowledge and Systems Engineering

Publication URL

http://dx.doi.org/10.1109/iske.2015.93

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Keywords

Computer Science Computer Science, Artificial Intelligence Computer Science, Theory & Methods Engineering Engineering, Electrical & Electronic FIFO(Fly-In-Fly-Out)heuristics rostering scheduling Science & Technology Technology

Meta-heuristics to optimise complex FIFO (fly-in-fly-out) workforce roster modelling in the mining sector

History

Pagination

Location

Start date

End date

ISSN

ISBN-13

Language

Publication classification

Title of proceedings

Event

Publisher

Place of publication

Series

Publication URL

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Keywords

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