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.
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 language | English |
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DOIs | |
Publication status | Published - 13 Jul 2019 |
Event | GECCO 2019: The Genetic and Evolutionary Computation Conference - Prague, Czech Republic Duration: 13 Jul 2019 → 17 Jul 2019 https://gecco-2019.sigevo.org/index.html/HomePage |
Conference
Conference | GECCO 2019 |
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Country/Territory | Czech Republic |
City | Prague |
Period | 13/07/19 → 17/07/19 |
Internet address |