Quality Diversity Approaches for Time-Use Optimisation to Improve Health Outcomes

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dc.contributor.authorNikfarjam, A.
dc.contributor.authorStanford, T.
dc.contributor.authorNeumann, A.
dc.contributor.authorDumuid, D.
dc.contributor.authorNeumann, F.
dc.contributor.conferenceThe Genetic and Evolutionary Computation Conference (GECCO) (14 Jul 2024 - 18 Jul 2024 : Melbourne, Victoria and Virtual Online)
dc.contributor.editorLi, X.
dc.contributor.editorHandl, J.
dc.date.issued2024
dc.description.abstractHow people spend their finite time budget of 24 hours on daily activities is linked to their wellbeing. Yet, how to best allocate time to optimise multi-dimensional wellbeing (physical, mental and cognitive) remains unknown. Here, we utilise a number of (objective) functions derived using compositional data analysis and a large child cohort (= > 1000), to predict how time allocation is associated with wellbeing outcomes such as body mass index, life satisfaction, and cognition. We develop and advocate joint cumulative distribution function constraints to ensure the feasible solutions do not extrapolate the sampled data for which the objective function is derived from. Moreover, we incorporate quality diversity (QD) approaches to study these objective functions. We de!ne two types of behavioural spaces (BSs), one based on the activities, called the variable-based BS, and the other based on objectives. The variable-based BS aids in studying solution space and generating a set of high-quality solutions with different variable values, while the objective-based BS is bene!cial in diversifying the objective values for a number of objective functions while optimising another. We also demonstrate a web application, Time allocation optimiser, providing personalised, optimised time-use plans.
dc.description.statementofresponsibilityAdel Nikfarjam, Ty Stanford, Aneta Neumann, Dorothea Dumuid, Frank Neumann
dc.identifier.citationProceedings of the Genetic and Evolutionary Computation Conference (GECCO, 2024), 2024 / Li, X., Handl, J. (ed./s), pp.1318-1326
dc.identifier.doi10.1145/3638529.3654085
dc.identifier.isbn979-8-4007-0494-9
dc.identifier.orcidNeumann, A. [0000-0002-0036-4782]
dc.identifier.orcidNeumann, F. [0000-0002-2721-3618]
dc.identifier.urihttps://hdl.handle.net/2440/144467
dc.language.isoen
dc.publisherACM
dc.publisher.placeOnline
dc.relation.granthttp://purl.org/au-research/grants/nhmrc/1186123
dc.relation.granthttp://purl.org/au-research/grants/nhmrc/1171981
dc.relation.granthttp://purl.org/au-research/grants/arc/FT200100536
dc.relation.granthttp://purl.org/au-research/grants/arc/DE230101174
dc.rights© 2024 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution-NonCommercial International 4.0 License
dc.source.urihttp://dx.doi.org/10.1145/3638529.3654085
dc.titleQuality Diversity Approaches for Time-Use Optimisation to Improve Health Outcomes
dc.typeConference paper
pubs.publication-statusPublished

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