Quantifying the Effects of Increasing User Choice in MAP-Elites Applied to a Workforce Scheduling and Routing Problem

Author(s):  
Neil Urquhart ◽  
Emma Hart ◽  
William Hutcheson
2020 ◽  
Vol 68 (2) ◽  
pp. 110-117
Author(s):  
Neil Urquhart ◽  
Emma Hart ◽  
William Hutcheson

AbstractAlgorithms such as MAP-Elites provide a means of allowing users to explore a solution space by returning an archive of high-performing solutions. Such an archive, can allow the user an overview of the solution space which may be useful when formulating policy around the problem itself. The number of solutions that can potentially be returned by MAP-Elites is controlled by a parameter d that discretises the user-defined features into ‘bins’. For a fixed evaluation budget, increasing the number of bins increases user-choice, but at the same time, may lead to a reduction in overall quality of solutions. We undertake a study of the application of Map-Elites to a Workforce Scheduling and Routing problem, using a set of realistic instances based in London.


2020 ◽  
Vol 118 ◽  
pp. 104930 ◽  
Author(s):  
Dilson Lucas Pereira ◽  
Júlio César Alves ◽  
Mayron César de Oliveira Moreira

2018 ◽  
Vol 25 (4-5) ◽  
pp. 753-792 ◽  
Author(s):  
Haneen Algethami ◽  
Anna Martínez-Gavara ◽  
Dario Landa-Silva

Omega ◽  
2020 ◽  
pp. 102302
Author(s):  
G. Guastaroba ◽  
J.-F. Côté ◽  
L.C. Coelho

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