Stochastic evolutionary-based optimization for rapid diagnosis and energy-saving in pilot- and full-scale Carrousel oxidation ditches

L. Li; L. Lei; M. S. Zheng; A. G.L. Borthwick; J. R. Ni

doi:10.3808/jei.201700377

Stochastic evolutionary-based optimization for rapid diagnosis and energy-saving in pilot- and full-scale Carrousel oxidation ditches

L. Li
, L. Lei
, M. S. Zheng
, A. G.L. Borthwick
, J. R. Ni^*

^*Corresponding author for this work

School of Engineering, Computing and Mathematics

Research output: Contribution to journal › Article › peer-review

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Original language	English
Number of pages	0
Journal	Journal of Environmental Informatics
Volume	0
Issue number	0
DOIs	https://doi.org/10.3808/jei.201700377
Publication status	E-pub ahead of print - 2018

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10.3808/jei.201700377

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title = "Stochastic evolutionary-based optimization for rapid diagnosis and energy-saving in pilot- and full-scale Carrousel oxidation ditches",

author = "L. Li and L. Lei and Zheng, \{M. S.\} and Borthwick, \{A. G.L.\} and Ni, \{J. R.\}",

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T1 - Stochastic evolutionary-based optimization for rapid diagnosis and energy-saving in pilot- and full-scale Carrousel oxidation ditches

AU - Li, L.

AU - Lei, L.

AU - Zheng, M. S.

AU - Borthwick, A. G.L.

AU - Ni, J. R.

PY - 2018

Y1 - 2018

UR - https://pearl.plymouth.ac.uk/secam-research/379/

U2 - 10.3808/jei.201700377

DO - 10.3808/jei.201700377

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JO - Journal of Environmental Informatics

JF - Journal of Environmental Informatics

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ER -

Stochastic evolutionary-based optimization for rapid diagnosis and energy-saving in pilot- and full-scale Carrousel oxidation ditches

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