An Evolutionary Hyper-Heuristic for the Software Project Scheduling Problem

X. WU; P. CONSOLI; L.L. MINKU; G. OCHOA; X. YAO

An Evolutionary Hyper-Heuristic for the Software Project Scheduling Problem

X. WU, P. CONSOLI, L.L. MINKU, G. OCHOA, X. YAO

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

17 Citations (Scopus)

Original language	English
Title of host publication	Proceedings of the 14th International Conference on Parallel Problem Solving from Nature (PPSN)
Editors	Julia Handl, Emma Hart, Peter R. Lewis, Manuel Lopez-Ibanez, Gabriela Ochoa, Ben Paechter
Place of Publication	Edinburgh, UK
Publisher	Springer Vieweg
Pages	37-47
Number of pages	11
Volume	9921
ISBN (Electronic)	9783319458236
ISBN (Print)	9783319458229
Publication status	Published - 31 Aug 2016

Publication series

Name	Theoretical Computer Science and General Issues
Publisher	Springer
Volume	9921

Access to Document

https://www.springer.com/gb/book/9783319458229Licence: None: All rights reserved

Cite this

WU, X., CONSOLI, P., MINKU, L. L., OCHOA, G., & YAO, X. (2016). An Evolutionary Hyper-Heuristic for the Software Project Scheduling Problem. In J. Handl, E. Hart, P. R. Lewis, M. Lopez-Ibanez, G. Ochoa, & B. Paechter (Eds.), Proceedings of the 14th International Conference on Parallel Problem Solving from Nature (PPSN) (Vol. 9921, pp. 37-47). (Theoretical Computer Science and General Issues; Vol. 9921). Springer Vieweg. https://www.springer.com/gb/book/9783319458229

WU, X. ; CONSOLI, P. ; MINKU, L.L. et al. / An Evolutionary Hyper-Heuristic for the Software Project Scheduling Problem. Proceedings of the 14th International Conference on Parallel Problem Solving from Nature (PPSN). editor / Julia Handl ; Emma Hart ; Peter R. Lewis ; Manuel Lopez-Ibanez ; Gabriela Ochoa ; Ben Paechter. Vol. 9921 Edinburgh, UK : Springer Vieweg, 2016. pp. 37-47 (Theoretical Computer Science and General Issues).

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author = "X. WU and P. CONSOLI and L.L. MINKU and G. OCHOA and X. YAO",

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editor = "Julia Handl and Emma Hart and Lewis, {Peter R. } and Manuel Lopez-Ibanez and Gabriela Ochoa and Ben Paechter",

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WU, X, CONSOLI, P, MINKU, LL, OCHOA, G & YAO, X 2016, An Evolutionary Hyper-Heuristic for the Software Project Scheduling Problem. in J Handl, E Hart, PR Lewis, M Lopez-Ibanez, G Ochoa & B Paechter (eds), Proceedings of the 14th International Conference on Parallel Problem Solving from Nature (PPSN). vol. 9921, Theoretical Computer Science and General Issues, vol. 9921, Springer Vieweg, Edinburgh, UK, pp. 37-47. <https://www.springer.com/gb/book/9783319458229>

An Evolutionary Hyper-Heuristic for the Software Project Scheduling Problem. / WU, X.; CONSOLI, P.; MINKU, L.L. et al.
Proceedings of the 14th International Conference on Parallel Problem Solving from Nature (PPSN). ed. / Julia Handl; Emma Hart; Peter R. Lewis; Manuel Lopez-Ibanez; Gabriela Ochoa; Ben Paechter. Vol. 9921 Edinburgh, UK: Springer Vieweg, 2016. p. 37-47 (Theoretical Computer Science and General Issues; Vol. 9921).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - An Evolutionary Hyper-Heuristic for the Software Project Scheduling Problem

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AU - CONSOLI, P.

AU - MINKU, L.L.

AU - OCHOA, G.

AU - YAO, X.

PY - 2016/8/31

Y1 - 2016/8/31

M3 - Conference contribution

SN - 9783319458229

VL - 9921

T3 - Theoretical Computer Science and General Issues

SP - 37

EP - 47

BT - Proceedings of the 14th International Conference on Parallel Problem Solving from Nature (PPSN)

A2 - Handl, Julia

A2 - Hart, Emma

A2 - Lewis, Peter R.

A2 - Lopez-Ibanez, Manuel

A2 - Ochoa, Gabriela

A2 - Paechter, Ben

PB - Springer Vieweg

CY - Edinburgh, UK

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WU X, CONSOLI P, MINKU LL, OCHOA G, YAO X. An Evolutionary Hyper-Heuristic for the Software Project Scheduling Problem. In Handl J, Hart E, Lewis PR, Lopez-Ibanez M, Ochoa G, Paechter B, editors, Proceedings of the 14th International Conference on Parallel Problem Solving from Nature (PPSN). Vol. 9921. Edinburgh, UK: Springer Vieweg. 2016. p. 37-47. (Theoretical Computer Science and General Issues).