What is it about?
The problem we tackle involves impatient clients and budget constraints, with the goal of maximizing service accessibility. This problem was formulated as a mixed integer programming model, incorporating both budget constraints and congestion considerations.
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Why is it important?
On top of the MILP formulation we proposed an efficient variable neighborhood search procedure and conducted computational experiments on a large set of instances to evaluate its effectiveness
Perspectives
The problem we tackle involves impatient clients and budget constraints, with the goal of maximizing service accessibility.
Prof. Kemal Kilic
Sabanci Universitesi
Read the Original
This page is a summary of: A heuristic approach to solve the preventive health care problem with budget and congestion constraints, Applied Mathematics and Computation, March 2016, Elsevier,
DOI: 10.1016/j.amc.2015.11.073.
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