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MODS Metadata of Home healthcare worker scheduling : a group genetic algorithm approach

roleTerm ( text )
author 
namePart
Mutingi, M. 
roleTerm ( text )
author 
namePart
Mbohwa, Charles 
dateAccessioned
2014-10-21T07:04:31Z 
dateAvailable
2014-10-21T07:04:31Z 
dateIssued
2013 
text
Mutingi, M. & Mbohwa, Charles. 2013. Home healthcare worker scheduling : a group genetic algorithm approach. Proceedings of the World Congress on Engineering 2013, Vol. I, WCE 2013, July 3- , 2013, London, U.K. 
identifier ( isbn )
978-988-19251-0-7 
identifier ( uri )
http://hdl.handle.net/10210/12488 
abstract
Home healthcare worker scheduling is a hard combinatorial problem concerned with the allocation of care tasks to healthcare givers at a minimal cost while considering healthcare service quality by striving to meet the time window restrictions specified by the patients. This paper proposes a group genetic algorithm (GGA) for addressing the scheduling problem. The approach utilizes the strengths of unique group genetic operators to effectively and efficiently address the group structure of the problem, providing good solutions within reasonable computation times. Computational results obtained show that the GGA approach is effective. 
languageTerm ( rfc3066 )
en 
publisher
WCE, http://www.iaeng.org 
accessCondition ( useAndReproduction )
© 2013, Authors & WCE 
topic
Healthcare staff scheduling 
topic
Healthcare service quality 
topic
Group genetic algorithm 
title
Home healthcare worker scheduling : a group genetic algorithm approach 
genre
Article 

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http://hdl.handle.net/10210/173495
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