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

被引：0

作者：

Ayodele, Mayowa ^{[1
]}

Papamichail, K. Nadia ^{[1
]}

Gallagher, Geraldine ^{[2
]}

Buckley, Darren ^{[2
]}

机构：

[1] Univ Manchester, Manchester, Lancs, England

[2] DWF Law LLP, Manchester, Lancs, England

来源：

PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCCO'19 COMPANION) | 2019年

关键词：

Estimation of Distribution Algorithm; Genetic Algorithm; Machine Learning; Fitness Approximation; Insurance; Legal Business; Random Forest; Resource Level Allocation;

D O I：

10.1145/3319619.3326782

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

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 real-world 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. The hybrid EDA presents promising results.

引用

页码：45 / 46

页数：2

共 4 条

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Ayodele M, 2017, IEEE C EVOL COMPUTAT, P2364, DOI 10.1109/CEC.2017.7969591

[2]

Ceberio J, 2014, 2014 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), P2459, DOI 10.1109/CEC.2014.6900435

[3]

Jin Y, 2005, SOFT COMPUT, V9, P3, DOI [10.1007/s00500-003-0328-5, 10.1007/S00500-003-0328-5]

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Zhang, Jun ;

Zhan, Zhi-hui ;

Lin, Ying ;

Chen, Ni ;

Gong, Yue-jiao ;

Zhong, Jing-hui ;

Chung, Henry S. H. ;

Li, Yun ;

Shi, Yu-hui .

IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 2011, 6 (04) :68-75

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