- 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