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Solving the nuclear dismantling project scheduling problem by combining mixed-integer and constraint programming techniques and metaheuristics
Scheduling of megaprojects is very challenging because of typical characteristics, such as expected long project durations, many activities with...
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Integer Linear Programming
Not too long after more and more applications of linear programming were developed it became apparent that in some of these applications, the... -
Mixed integer programming formulations for the generalized traveling salesman problem with time windows
The generalized traveling salesman problem with time windows (GTSPTW) is defined on a directed graph where the vertex set is partitioned into...
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Mathematical modelling and a discrete cuckoo search particle swarm optimization algorithm for mixed model sequencing problem with interval task times
This paper addresses a sequencing problem with uncertain task times in mixed model assembly lines. In this problem, task times are not known exactly...
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A distributionally robust chance-constrained model for humanitarian relief network design
We propose a novel two-stage distributionally robust joint chance-constrained (DRJCC) model to design a resilient humanitarian relief network with...
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Storage location assignment of steel coils in a manufacturing company: an integer linear programming model and a greedy randomized adaptive search procedure
Warehouse operations have a significant role to survive in today’s competitive world. Hence, companies introduce various solutions to improve...
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Decomposition methods for multi-horizon stochastic programming
Multi-horizon stochastic programming includes short-term and long-term uncertainty in investment planning problems more efficiently than traditional...
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Inductive linearization for binary quadratic programs with linear constraints: a computational study
The computational utility of inductive linearizations for binary quadratic programs when combined with a mixed-integer programming solver is...
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Modeling Structures Using Mixed Integer Programming
In this chapter we shall look at ways in which problems may be formulated using a series of devices mainly involving integer variables for counting... -
A ground crew shift rostering model for Santiago International Airport
A mixed integer linear programming model is presented for personnel planning of ground handling crews at Santiago International Airport in Chile. The...
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Drainage area maximization in unconventional hydrocarbon fields with integer linear programming techniques
The drainage area maximization problem for an unconventional hydrocarbon field is addressed with the objective of designing a development plan that...
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A mixed-integer nonlinear optimization model for integrated flight scheduling, fleet assignment, and ticket pricing in competitive market
In the airline industry, ticket pricing is one of the most complex problems that researchers and practitioners are extensively involved on it. In...
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An exact method for influence maximization based on deterministic linear threshold model
Influence maximization (IM) is a challenging combinatorial optimization problem on (social) networks given a diffusion model and limited choice for...
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Teaching OR: automatic evaluation for linear programming modelling
Learning how to model a problem described in natural language as a linear program requires students to practice using various and numerous exercises....
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A numerical method for interval multi-objective mixed-integer optimal control problems based on quantum heuristic algorithm
This article is concerned with the numerical solution for a class of interval multi-objective mixed-integer optimal control problems (IMOMIOCPs). The...
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An exploratory computational analysis of dual degeneracy in mixed-integer programming
Dual degeneracy, i.e., the presence of multiple optimal bases to a linear programming (LP) problem, heavily affects the solution process of mixed...
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Types of Mixed Integer Linear Programming Problems
In this chapter a number of standard ILP problems will be formulated. As in Chap. 4 , we shall look at some... -
A bi-level multi-follower optimization model for R&D project portfolio: an application to a pharmaceutical holding company
The need for a study of project portfolio optimization in pharmaceutical R&D has become all the more urgent with the outbreak of COVID-19. This study...
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A proactive transshipment model for prototype parts logistics in the automotive industry
In the logistics of prototype parts in the automotive industry, unique parts are stored in warehouses and provided to assembly service providers to...
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Integrated DANP and binary goal programming model in generating joint-decision making for packaging postponement and supplier selection
This article explores the application of goal programming (GP) for improving tactical decision-making in supply chains. GP demonstrates flexibility...