35 research outputs found
Generating Multi-objective Optimized Business Process Enactment Plans
Declarative business process (BP) models are increasingly
used allowing their users to specify what has to be done instead of how.
Due to their flexible nature, there are several enactment plans related to
a specific declarative model, each one presenting specific values for different
objective functions, e.g., completion time or profit. In this work, a
method for generating optimized BP enactment plans from declarative
specifications is proposed to optimize the performance of a process considering
multiple objectives. The plans can be used for different purposes,
e.g., providing recommendations. The proposed approach is validated
through an empirical evaluation based on a real-world case study.Ministerio de Ciencia e Innovaci贸n TIN2009-1371
Overviewing the transition of Markowitz bi-criterion portfolio selection to tri-criterion portfolio selection
Over sixty years ago, Markowitz introduced the mean-variance efficient frontier to finance. While mean-variance is still the predominant model in portfolio selection, it has endured many criticisms. One serious one is that it does not allow for additional criteria. The difficulty is that the efficient frontier becomes a surface. With it now possible to compute such a surface, we provide an overview on how Markowitz's risk-return (bi-criterion) portfolio selection can be extended to tri-criterion portfolio selection. With a focus on the geometry of the extension, many graphs are used to illustrate