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

Author:

Nikfarjam Adel1ORCID,Stanford Ty2ORCID,Neumann Aneta1ORCID,Dumuid Dorothea2ORCID,Neumann Frank1ORCID

Affiliation:

1. The University of Adelaide, Adelaide, Australia

2. The University of South Australia, Adelaide, Australia

Funder

National Health and Medical Research Council

Australian Research Council

Publisher

ACM

Reference39 articles.

1. Maxime Allard, Simón C. Smith, Konstantinos I. Chatzilygeroudis, and Antoine Cully. 2022. Hierarchical quality-diversity for online damage recovery. In Genetic and Evolutionary Computation Conference, GECCO 2022. ACM, 58--67.

2. Denis Antipov, Aneta Neumann, and Frank Neumann. 2024. A Detailed Experimental Analysis of Evolutionary Diversity Optimization for OneMinMax. In Genetic and Evolutionary Computation Conference, GECCO 2024. ACM. To appear.

3. Australian Government Department of Health. Accessed 2020. Australian 24-Hour Movement Guidelines for Children and Young People (5-17 years): An Integration of Physical Activity Sedentary Behaviour and Sleep - Research Report. https://www1.health.gov.au/internet/main/publishing.nsf/Content/ti-5-17years

4. Susan A Clifford, Sarah Davies, and Melissa Wake. 2019. Child Health CheckPoint: cohort summary and methodology of a physical health and biospecimen module for the Longitudinal Study of Australian Children. BMJ open 9, Suppl 3 (2019).

5. Jeff Clune Jean-Baptiste Mouret and Hod Lipson. 2013. Summary of "the evolutionary origins of modularity". In GECCO (Companion). ACM 23--24.

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