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Multiperiod optimization model for oilfield production planning: bicriterion optimization and two-stage stochastic programming model
In this work, we present different tools of mathematical modeling that can be used in oil and gas industry to help improve the decision-making for...
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Scheduling jobs with general linear deterioration to minimize total weighted number of late jobs
This paper deals with a single-machine scheduling problem with a general linear deterioration effect. The goal is to determine the job schedule such...
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Minimizing Ratio of Monotone Non-submodular Functions
In this paper, we investigate the problem of minimizing the ratio of normalized non-negative monotone non-submodular set function f and normalized...
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Two-Agent Scheduling on a Bounded Parallel-Batching Machine with Makespan and Maximum Lateness Objectives
This paper studies the two-agent scheduling on a bounded parallel-batching machine. In the problem, there are two agents A and B each having their...
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Modeling and Solving a Multi-Period Inventory Fulfilling and Routing Problem for Hazardous Materials
Any potential damage may be severe once an accident occurs involving hazardous materials. It is therefore important to consider the risk factor...
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On the Parametric Decomposition Theorem in Multiobjective Optimization
An example is given to show the inadequacy of a well-known result, concerning the parametric decomposition theorem for multiobjective optimization...
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Due date assignment and two-agent scheduling under multitasking environment
This paper addresses a two-agent scheduling problem with due date assignment under multitasking environment, in which the due dates of the jobs from...
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Mixed-Vehicular Aggregated Transportation Network Design Considering En-route Recharge Service Provision for Electric Vehicles
This paper addresses the transportation network design problem (NDP) wherein the distance limit and en-route recharge of electric vehicles are taken...
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Scheduling Problems to Maximize the Weighted Number of JIT Jobs
This chapter is devoted to scheduling problems with the objective of maximizing the weighted number of JIT jobs in flowshop and unrelated... -
MRI appointment scheduling with uncertain examination time
This paper addresses the appointment scheduling problem for a single diagnostic facility—the magnetic resonance imaging equipment, which provides...
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On the Tractability of Shortest Path Problems in Weighted Edge-Coloured Graphs
A weighted edge-coloured graph is a graph for which each edge is assigned both a positive weight and a discrete colour, and can be used to model...
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Multiobjective Inversion and Regularization
After incorporating prior information, the inverse problem becomes a bi-criterion optimization problem. The use of prior information in such a way... -
Strongly polynomial bounds for multiobjective and parametric global minimum cuts in graphs and hypergraphs
We consider multiobjective and parametric versions of the global minimum cut problem in undirected graphs and bounded-rank hypergraphs with multiple...
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An intelligent water drop algorithm to identical parallel machine scheduling with controllable processing times: a just-in-time approach
Identical parallel machine scheduling problem with controllable processing times is investigated in this research. In such an area, our focus is...
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Model Differentiation
In the previous chapters, we showed that an inverse problem ultimately becomes an optimization problem, regardless the type of framework... -
A Two-Criterion Lexicographic Algorithm for Finding All Shortest Paths in Networks
An algorithm for finding all shortest paths in an undirected network is considered. The following two criteria are used: the minimum number of arcs...
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A new algorithm for linear multiobjective programming problems with bounded variables
In this paper, we present a new adapted algorithm for defining the solution set of a multiobjective linear programming problem, where the decision...
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A stochastic programming approach to multicriteria portfolio optimization
We study a stochastic programming approach to multicriteria multi-period portfolio optimization problem. We use a Single Index Model to estimate the...
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Identification of Fuzzy-Integral Models of Extremal Fuzzy Processes
Based on the fuzzy-integral model constructed in Chap. 5 , methods and algorithms are developed for... -
A trust-region framework for constrained optimization using reduced order modeling
Reduced order models (ROM), such as proper orthogonal decomposition (POD), lead to powerful techniques to address computational challenges in...