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Mixed integer linear programming formulation for K-means clustering problem
The minimum sum-of-squares clusering is the most widely used clustering method. The minimum sum-of-squares clustering is usually solved by the...
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Development of a Heuristic Based Mixed Integer Linear Programming Model for Resources Allocation During Cyberfraud Mitigation
In this digital era, cyberfraud remains one of the major challenges faced by individuals and financial institutions. Lack of suitable decision...
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Decomposition-Based Algorithms for Mixed-Integer Linear Programs with Integer Subproblems
Mathematical decomposition methods have been extensively used in the last decades to solve large scale optimization problems. In this chapter, we... -
New Ways in Municipal Flood Mitigation: a Mixed-Integer Programming Approach and its Practical Application
Adapting to the consequences of climate change is one of the central challenges faced by humanity in the next decades. One of these consequences are...
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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... -
A mixed-integer programming approach for solving university course timetabling problems
This article presents a mixed-integer programming model for solving the university timetabling problem which considers the allocation of students to...
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PaMILO: A Solver for Multi-objective Mixed Integer Linear Optimization and Beyond
In multi-objective optimization, several potentially conflicting objective functions need to be optimized. Instead of one optimal solution, we look... -
Integer Programming Approaches
Integer programming has been widely used to solve round-robin tournament scheduling problems, either as standalone formulations or embedded in... -
An assembly timing planning method based on knowledge and mixed integer linear programming
Assembly timing planning, which aims to solve the assembly action sequence and assembly part sequence with the shortest assembly time as the goal, is...
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Integer Programming Methods to Identify Nash Equilibrium Solutions for Platform-Based Scheduling Games
This paper proposes an integer programming approach to examining Nash equilibrium solutions of a game modeling freelancer platforms. This...
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A new mixed-integer programming formulation for the maximally diverse grou** problem with attribute values
The paper presents a new mixed-integer programming formulation for the maximally diverse grou** problem (MDGP) with attribute values. The MDGP is...
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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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Simultaneous sensitivity analysis of mixed-integer location-allocation models using machine learning tools: cancer hospitals’ network design
Uncertainty analysis is an inevitable attribute of location-allocation problems due to unforecastable parameter changes. Although the simultaneous...
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Mixed-Integer Linear Programming Formulations for the Inbound Container Remarshaling Problem in an Automated Container Terminal
In this paper, we study the inbound container remarshaling problem in an automated container terminal, which jointly optimizes the allocation of... -
A mixed integer linear programming model to support e-fulfillment strategies in warehouse-based supermarket chains
The use of the online channel has greatly increased the logistics costs of supermarket chains. Even the difficulty of managing order picking and...
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A Mixed-Integer Formulation for the Simultaneous Input Selection and Outlier Filtering in Soft Sensor Training
Soft sensors are used to calculate the real-time values of process variables which can be measured in the laboratory only or require expensive online...
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Two linear approximation algorithms for convex mixed integer nonlinear programming
We present two new algorithms for convex Mixed Integer Nonlinear Programming (MINLP), both based on the well known Extended Cutting Plane (ECP)...
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A Proposal of Web Application for the Study and Resolution of the Job Shop Problem with Makespan Minimization Via Mixed Integer Linear Programming
This study proposes software that allows the user to solve the Job Shop Scheduling Problem (JSSP) with makespan minimization to support the teaching... -
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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A flexible mixed integer programming-based system for real-world nurse rostering
Researchers have studied the nurse rostering problem for multiple decades. Initially, the formulations were rather primitive including only a few...