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Next-day operating room scheduling with uncertain surgery durations: Exact analysis and heuristics
(Elsevier, 2020-10-01)
Operating rooms are units of particular interest in hospitals as they constitute more than 40% of total expenses and revenues. Managing operating rooms is challenging due to conflicting priorities and preferences of various ...
A gradient descent based heuristic for solving regression clustering problems
(SciTePress, 2020)
Regression analysis is the method of quantifying the effects of a set of independent variables on a dependent variable. In regression clustering problems, the data points with similar regression estimates are grouped into ...
Designing an efficient gradient descent based heuristic for clusterwise linear regression for large datasets
(Springer, 2021)
Multiple linear regression is the method of quantifying the effects of a set of independent variables on a dependent variable. In clusterwise linear regression problems, the data points with similar regression estimates ...
Solving a new application of asymmetric TSP by modified migrating birds optimization algorithm
(Springer, 2023-07)
In this study, we first introduce a new application of the asymmetric traveling salesman problem which is about a small restaurant with one cook and a single stove. Once a meal has started cooking on the stove, the cook ...
A new application of the traveling salesman problem: The Turkish cashier problem
(Ministry Communications & High Technologies Republic Azerbaijan, 2022)
We define the problem of finding a route for the cashier that minimizes the cost of transportation as the Turkish Cashier Problem (TCP). It is a special case of the well-known traveling salesman problem. To solve the TCP, ...
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