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Computational Linear Bilevel Optimization
In this article, we summarize a subset of the findings of the cumulative dissertation “Algorithms for Mixed-Integer Bilevel Problems with Convex...
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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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Testing for signal-to-noise ratio in linear regression: a test under large or massive sample
This paper proposes a test for the signal-to-noise ratio applicable to a range of significance tests and model diagnostics in a linear regression...
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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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Generative adversarial networks and hessian locally linear embedding for geometric variations management in manufacturing
Geometric variations and uncertainty are generally observed on every manufactured workpiece and have a critical influence on the functional...
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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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The role of the tourism sector in creating direct employment in Mexico: evidence from linear and nonlinear ARDL frameworks
This paper analyzes the role of the tourism sector in creating direct employment in Mexico by measuring the output elasticity of tourism employment...
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Forecasting accuracy of machine learning and linear regression: evidence from the secondary CAT bond market
The main challenge in empirical asset pricing is forecasting the future value of assets traded in financial markets with a high level of accuracy....
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Identifying the Influential Factors in Increasing the Efficiency of Network Systems: A Mixed Binary Linear Programming
Old models in data envelopment analysis (DEA) consider decision-making units (DMUs) as black boxes. Therefore, they do not have a proper efficiency...
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Asymmetric effects of capital flight on domestic investment in Nigeria: evidence from non-linear autoregressive distributed lag model
Economic theory prescribes that domestic investment is a decreasing function of capital flight. However, is there a possibility that reversals in...
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Linear Regression
Regression aims at predicting a future value, so the outcome we are trying to predict is a number, not a class. Many problems can be reduced to...
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An improved solution for fully neutrosophic multi-level linear programming problem based on Laplace transform
The main objective of this paper is to present an improved solution approach for a fully neutrosophic generalized multi-level linear programming...
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Resource Allocation and Service Line Problems: Solutions Using Linear Optimization
Linear optimization is a powerful methodology for finding the minimal cost staffing and resource allocation solution when the objective function and...
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New Formulations for the Scheduled Service Network Design Problem with Piecewise Linear Costs
The Scheduled Service Network Design Problem (SSNDP) models a wide range of tactical planning issues in the operation of freight transportation...
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On optimistic, pessimistic and mixed fuzzy-programming based approaches to solve multi-objective fully intuitionistic fuzzy linear fractional programming problems
A decision-maker often encounters a state of uncertainty as well as hesitancy due to various unpredictable factors while solving real-world...
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IDILIM: incident detection included linear management using connected autonomous vehicles
Autonomous vehicle advancements and communication technologies such as V2V, V2I, and V2X have enabled the development of connected and autonomous...
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Model Diagnostics
Knowing the correct mathematical model can be tremendously helpful when trying to make predictions. In many cases, however, a mathematical model that...
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Nonprofit Employee Engagement Model
The need for nonprofit organizations to deploy employee engagement as the core of their human resource strategy cannot be over-emphasized. With the...
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Novel compressed linear network coding vectors for multihop communication networks
Random Linear Network Coding (RLNC) is well-known to provide high throughput and low latency for vast communication networks. However, RLNC often...
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Models for Network Flow and Network Design Problems with Piecewise Linear Costs
In modeling real-world applications of network design, a difficulty often encountered is the fact that capacity on the arcs are not ”all-or-nothing”...