Browsing Industrial Engineering by Document Type "Article"
Now showing items 1-20 of 161
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Adapted infinite kernel learning by multi-local algorithm
(World Scientific Publishing Co, 2016-05)The interplay of machine learning (ML) and optimization methods is an emerging field of artificial intelligence. Both ML and optimization are concerned with modeling of systems related to real-world problems. Parameter ... -
Aid allocation for camp-based and urban refugees with uncertain demand and replenishments
(Wiley, 2021-12)There are 26 million refugees worldwide seeking safety from persecution, violence, conflict, and human rights violations. Camp-based refugees are those that seek shelter in refugee camps, whereas urban refugees inhabit ... -
Algorithmic expedients for the prize collecting Steiner tree problem
(Elsevier, 2010)This paper investigates the Prize Collecting Steiner Tree Problem (PCSTP) on a graph, which is a generalization of the well-known Steiner tree problem. Given a root node, edge costs, node prizes and penalties, as well as ... -
Allocating cost of service to customers in inventory routing
(Informs, 2013)Vendor-managed inventory VMI replenishment is a collaboration between a supplier and its customers, where the supplier is responsible for managing the customers' inventory levels. In the VMI setting we consider, the supplier ... -
Application of sequence-dependent traveling salesman problem in printed circuit board assembly
(IEEE, 2013-06)Optimization issues regarding the automated assembly of printed circuit boards attracted the interest of researchers for several decades. This is because even small gains in assembly time result in very important benefits ... -
An application of unrelated parallel machine scheduling with sequence-dependent setups at Vestel Electronics
(Elsevier, 2019-11)In this paper, we analyze a variant of the unrelated parallel machine scheduling problem with the objective of minimizing the total tardiness and earliness in the presence of sequence-dependent setups, unequal release ... -
Approximation algorithms for single machine scheduling with one unavailability period
(Springer Nature, 2009-03)In this paper, we investigate the single machine scheduling problem with release dates and tails and a planned unavailability time period. We show that the problem admits a fully polynomial-time approximation scheme when ... -
The attractive traveling salesman problem
(Elsevier, 2010-05-16)In the Attractive Traveling Salesman Problem the vertex set is partitioned into facility vertices and customer vertices. A maximum profit tour must be constructed on a subset of the facility vertices. Profit is computed ... -
Benchmarking nonlinear optimization software in technical computing environments
(Springer Science+Business Media, 2013-04)Our strategic objective is to develop a broadly categorized, expandable collection of test problems, to support the benchmarking of nonlinear optimization software packages in integrated technical computing environments ... -
Benchmarking regression algorithms for income prediction modeling
(Elsevier, 2016)This paper aims to predict incomes of customers for banks. In this large-scale income prediction benchmarking paper, we study the performance of various state-of-the-art regression algorithms (e.g. ordinary least squares ... -
A benders decomposition approach for an integrated airline schedule design and fleet assignment problem with flight retiming, schedule balance, and demand recapture
(Springer Science+Business Media, 2013-11)The airline’s ability to offer flight schedules that provide service to passengers at desired times in competitive markets, while matching demand with an aircraft fleet of suitable size and composition, can significantly ... -
Bin packing problem with conflicts and item fragmentation
(Elsevier, 2021-02)In this paper, we study the Bin Packing Problem with Conflicts and Item Fragmentation (BPPC-IF) which has applications in the delivery and storage of items that cannot be packed together. Given a set of items each with a ... -
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 ... -
A branch-and-cut algorithm for solving the non-preemptive capacitated swapping problem
(Elsevier, 2010-08-06)This paper models and solves a capacitated version of the Non-Preemptive Swapping Problem. This problem is defined on a complete digraph , at every vertex of which there may be one unit of supply of an item, one unit of ... -
A branch-and-cut algorithm for the Steiner tree problem with delays
(Springer Science+Business Media, 2012-12)In this paper, we investigate the Steiner tree problem with delays, which is a generalized version of the Steiner tree problem applied to multicast routing. For this challenging combinatorial optimization problem, we present ... -
Branch-and-price approach for robust parallel machine scheduling with sequence-dependent setup times
(Elsevier, 2022-09-16)This paper studies a machine scheduling problem that minimizes the worst-case total tardiness for unrelated parallel machines with sequence-dependent setup and uncertain processing times. We propose a robust optimization ... -
A branch-and-price-and-cut method for computing an optimal bramble
(Elsevier, 2015)Given an undirected graph, a bramble is a set of connected subgraphs (called bramble elements) such that every pair of subgraphs either contains a common node, or such that an edge ( i , j ) exists with node i belonging ... -
A branch‐and‐cut approach for the least cost influence problem on social networks
(Wiley, 2020-07)This paper studies a problem in the online targeted marketing setting called the least cost influence problem (LCIP) that is known to be NP-hard. The goal is to find the minimum total amount of inducements (individuals to ... -
Calibrating artificial neural networks by global optimization
(Elsevier, 2012-01)Artificial neural networks (ANNs) are used extensively to model unknown or unspecified functional relationships between the input and output of a “black box” system. In order to apply the generic ANN concept to actual ... -
Capacity planning for effective cohorting of hemodialysis patients during the coronavirus pandemic: A case study
(Elsevier, 2023-01-01)Planning treatments of different types of patients have become challenging in hemodialysis clinics during the COVID-19 pandemic due to increased demands and uncertainties. In this study, we address capacity planning decisions ...
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