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

Standard

Hybrid Estimation of Distribution Algorithm for solving a Resource Level Allocation Problem in a Legal Business. / Ayodele, Mayowa; Papamichail, Konstantinia; Gallagher, Geraldine; Buckley, Darren .

2019. Paper presented at GECCO 2019, Prague, Czech Republic.

Research output: Contribution to conferencePaper

Harvard

Ayodele, M, Papamichail, K, Gallagher, G & Buckley, D 2019, 'Hybrid Estimation of Distribution Algorithm for solving a Resource Level Allocation Problem in a Legal Business', Paper presented at GECCO 2019, Prague, Czech Republic, 13/07/19 - 17/07/19. https://doi.org/10.1145/3319619.3326782

APA

Vancouver

Author

Ayodele, Mayowa ; Papamichail, Konstantinia ; Gallagher, Geraldine ; Buckley, Darren . / Hybrid Estimation of Distribution Algorithm for solving a Resource Level Allocation Problem in a Legal Business. Paper presented at GECCO 2019, Prague, Czech Republic.

Bibtex

@conference{31939eeb41f74e19986f5a5006c208fa,
title = "Hybrid Estimation of Distribution Algorithm for solving a Resource Level Allocation Problem in a Legal Business",
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.",
author = "Mayowa Ayodele and Konstantinia Papamichail and Geraldine Gallagher and Darren Buckley",
year = "2019",
month = jul
day = "13",
doi = "10.1145/3319619.3326782",
language = "English",
note = "GECCO 2019 : The Genetic and Evolutionary Computation Conference ; Conference date: 13-07-2019 Through 17-07-2019",
url = "https://gecco-2019.sigevo.org/index.html/HomePage",

}

RIS

TY - CONF

T1 - Hybrid Estimation of Distribution Algorithm for solving a Resource Level Allocation Problem in a Legal Business

AU - Ayodele, Mayowa

AU - Papamichail, Konstantinia

AU - Gallagher, Geraldine

AU - Buckley, Darren

PY - 2019/7/13

Y1 - 2019/7/13

N2 - 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.

AB - 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.

U2 - 10.1145/3319619.3326782

DO - 10.1145/3319619.3326782

M3 - Paper

T2 - GECCO 2019

Y2 - 13 July 2019 through 17 July 2019

ER -