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Intelligent Resource Exchanges - Solutions and Pathways in a Workforce Allocation Problem

Virginas, B.; Ursu, Marian F.; Tsang, E; Owusu, G. and Voudouris, C.. 2008. Intelligent Resource Exchanges - Solutions and Pathways in a Workforce Allocation Problem. Journal of Universal Computer Science, 14(14), pp. 2343-2358. ISSN 0948-695X [Article]

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Abstract or Description

This paper considers the problem of resource allocation in the service industries approached from an agent-based perspective. Agent technologies seem to be well suited to this domain by providing a distributed environment, are network centric, semi-autonomous and collaborative and can communicate with each other to achieve better optimisation with little human intervention. The paper describes the context of this solution, a general power model and several pathways with corresponding example implementations with results and discussion The novelty of the solution resides in the fact that it is a natural and versatile formulation that combines an agent-based model with various artificial intelligence and operations research techniques such as rule-based expressions of allocation strategies and multi-criteria optimisation expressions of allocation objectives

Item Type:

Article

Identification Number (DOI):

https://doi.org/10.3217/jucs-014-14-2343

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
2008Published

Item ID:

16211

Date Deposited:

11 Jan 2016 14:51

Last Modified:

11 Jan 2016 14:51

Peer Reviewed:

Yes, this version has been peer-reviewed.

URI:

http://research.gold.ac.uk/id/eprint/16211

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