Hybrid Estimation of Distribution Algorithm for solving a Resource Level Allocation Problem in a Legal Business

Mayowa Ayodele, Konstantinia Papamichail, Geraldine Gallagher, Darren Buckley

Research output: Contribution to conferencePaperpeer-review

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Abstract

Resource level allocation entails assigning execution times to a set of resource levels required to complete a task. This is an important problem, particularly in the services sector. We consider a realworld variant of this problem originating from a legal business. The objective considered is the maximisation of damages savings.
We apply an Estimation of Distribution Algorithm (EDA) to this problem and use a machine learning model, Random Forest, as a fitness approximation method. Thee hybrid EDA presents promising results.
Original languageEnglish
DOIs
Publication statusPublished - 13 Jul 2019
EventGECCO 2019: The Genetic and Evolutionary Computation Conference - Prague, Czech Republic
Duration: 13 Jul 201917 Jul 2019
https://gecco-2019.sigevo.org/index.html/HomePage

Conference

ConferenceGECCO 2019
Country/TerritoryCzech Republic
CityPrague
Period13/07/1917/07/19
Internet address

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