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- W4288804580 abstract "Diversification in a set of solutions has become a hot research topic in the evolutionary computation community. It has been proven beneficial for optimisation problems in several ways, such as computing a diverse set of high-quality solutions and obtaining robustness against imperfect modeling. For the first time in the literature, we adapt the evolutionary diversity optimisation for a real-world combinatorial problem, namely patient admission scheduling. We introduce an evolutionary algorithm to achieve structural diversity in a set of solutions subjected to the quality of each solution. We also introduce a mutation operator biased towards diversity maximisation. Finally, we demonstrate the importance of diversity for the aforementioned problem through a simulation." @default.
- W4288804580 created "2022-07-30" @default.
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- W4288804580 date "2022-07-28" @default.
- W4288804580 modified "2023-10-18" @default.
- W4288804580 title "Computing High-Quality Solutions for the Patient Admission Scheduling Problem using Evolutionary Diversity Optimisation" @default.
- W4288804580 doi "https://doi.org/10.48550/arxiv.2207.14112" @default.
- W4288804580 hasPublicationYear "2022" @default.
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