Towards an intelligent meta-heuristics development framework

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Bibliographic Details
Main Authors:	LAU, Hoong Chuin, XIAO, Fei
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 2007
Subjects:	Artificial Intelligence and Robotics Operations Research, Systems Engineering and Industrial Engineering
Online Access:	https://ink.library.smu.edu.sg/sis_research/368
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Institution:	Singapore Management University
Language:	English

id	sg-smu-ink.sis_research-1367
record_format	dspace
spelling	sg-smu-ink.sis_research-13672017-01-04T08:52:12Z Towards an intelligent meta-heuristics development framework LAU, Hoong Chuin XIAO, Fei 2007-06-01T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/368 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Artificial Intelligence and Robotics Operations Research, Systems Engineering and Industrial Engineering
institution	Singapore Management University
building	SMU Libraries
continent	Asia
country	Singapore Singapore
content_provider	SMU Libraries
collection	InK@SMU
language	English
topic	Artificial Intelligence and Robotics Operations Research, Systems Engineering and Industrial Engineering
spellingShingle	Artificial Intelligence and Robotics Operations Research, Systems Engineering and Industrial Engineering LAU, Hoong Chuin XIAO, Fei Towards an intelligent meta-heuristics development framework
format	text
author	LAU, Hoong Chuin XIAO, Fei
author_facet	LAU, Hoong Chuin XIAO, Fei
author_sort	LAU, Hoong Chuin
title	Towards an intelligent meta-heuristics development framework
title_short	Towards an intelligent meta-heuristics development framework
title_full	Towards an intelligent meta-heuristics development framework
title_fullStr	Towards an intelligent meta-heuristics development framework
title_full_unstemmed	Towards an intelligent meta-heuristics development framework
title_sort	towards an intelligent meta-heuristics development framework
publisher	Institutional Knowledge at Singapore Management University
publishDate	2007
url	https://ink.library.smu.edu.sg/sis_research/368
_version_	1770570398716395520

Towards an intelligent meta-heuristics development framework

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