Suggestions(1)
Exact(3)
The objective function below maximizes the demand served with (p) facilities and (D) distance limit.
Having obtained the minimal number (say p) of facilities needed, we use this number in the Max (varvech_{i} -POM model to find the set of p facility locations that maximizes the demand covarvech_{i} -POM
The DSM maximizes the demand covered by at least two vehicles, implicitly taking into account the fact that vehicles might become unavailable, while ensuring certain additional requirements concerning coverage are met.
Similar(57)
Idea 1: Maximizing the demand served with (p) facilities and distance limit (D).
Two-stage optimization Locate stations first to maximize the demand, then find the alignment to minimize the cost.
Focusing on the grid variant, let us discuss three ideas: Idea 1: Maximizing the demand served with (p) facilities and distance limit (D).
A multi-objective linear model that aims to minimize transportation cost and maximize the demand for food was proposed by (Knott 1987).
To test the effectiveness of the proposed concurrent station location and alignment optimization model, the following two optimization methods are examined: Two-stage optimization Locate stations first to maximize the demand, then find the alignment to minimize the cost.
Clearly, in a POM setting, to maximize the demand served with p facilities serving only adjacent demand points, one solves the above Max (h_{i}) problem with (V_{i}) replaced by (tilde{V}_{i}).
Idea 3: Combining Idea 1 and Idea 2 as follows: (1) as first-priority goal maximize the demand served with (p) facilities and distance limit (D) (2) as second-priority goal minimize the total weighted transmission distance given a total of p facilities and given as constraint the maximal demand served that was obtained as first-priority goal.
Motivated to maximize the demand for their services while minimizing their costs, private for-profit facilities generally face greater incentives to be efficient and client-friendly providers of health care.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com