Bacteria-inspired algorithms and their applications to power system optimisation

Bibliographic Details
Main Author:	Li, Mengshi
Published:	University of Liverpool 2010
Subjects:	621.31
Online Access:	http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.533977

id	ndltd-bl.uk-oai-ethos.bl.uk-533977
record_format	oai_dc
spelling	ndltd-bl.uk-oai-ethos.bl.uk-5339772015-03-20T05:22:00ZBacteria-inspired algorithms and their applications to power system optimisationLi, Mengshi2010621.31University of Liverpoolhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.533977Electronic Thesis or Dissertation
collection	NDLTD
sources	NDLTD
topic	621.31
spellingShingle	621.31 Li, Mengshi Bacteria-inspired algorithms and their applications to power system optimisation
author	Li, Mengshi
author_facet	Li, Mengshi
author_sort	Li, Mengshi
title	Bacteria-inspired algorithms and their applications to power system optimisation
title_short	Bacteria-inspired algorithms and their applications to power system optimisation
title_full	Bacteria-inspired algorithms and their applications to power system optimisation
title_fullStr	Bacteria-inspired algorithms and their applications to power system optimisation
title_full_unstemmed	Bacteria-inspired algorithms and their applications to power system optimisation
title_sort	bacteria-inspired algorithms and their applications to power system optimisation
publisher	University of Liverpool
publishDate	2010
url	http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.533977
work_keys_str_mv	AT limengshi bacteriainspiredalgorithmsandtheirapplicationstopowersystemoptimisation
_version_	1716791016822931456

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