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Bounding strategies for the hybrid flow shop scheduling problem
(Elsevier, 2011-07-01)
In this paper, we investigate new lower and upper bounds for the multiple-center hybrid flow shop scheduling problem. We propose a family of center-based lower bounds as well as a destructive lower bound that is based on ...
Solving two-stage hybrid flow shop using climbing depth-bounded discrepancy search
(Elsevier, 2011-03)
This paper investigates how to adapt a discrepancy-based search method to solve two-stage hybrid flowshop scheduling problems in which each stage consists of several identical machines operating in parallel. The objective ...
Heuristics for the variable sized bin-packing problem
(Elsevier, 2009-10)
We investigate the one-dimensional variable-sized bin-packing problem. This problem requires packing a set of items into a minimum-cost set of bins of unequal sizes and costs. Six optimization-based heuristics for this ...
Mitigating the impact of drug shortages for a healthcare facility: An inventory management approach
(Elsevier, 2016-05-16)
Despite the importance and value of the pharmaceutical market, a significant portion of procurement spending including pharmaceuticals are lost. Coupling poor and reactive management practices with the inevitable national ...
VRP12 (vehicle routing problem with distances one and two) with side constraints
(Elsevier, 2013-08)
The problem undertaken in this study is inspired from a real life application. Consider a vehicle routing problem where the distances between the customer locations are either one or two. We name this problem as VRP12 in ...
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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