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Supply Chain Cybersecurity: A Linear Optimization Model
This chapter presents a mixed integer linear programming formulation for optimization of cybersecurity investment in the global supply chains. Using... -
Novel Methods for Solving Multi-Objective Non-linear Inventory Model of Highly Deteriorating Items
In this study, multi-objective inventory model of deteriorating and perishable items is developed under space and budget constraints. Demand is stock...
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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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Linear Optimization
Linear optimization, a fundamental technique of operations research, plays a central role in the optimization of decision processes. This work gives... -
A two-stage linear production planning model with partial cooperation under stochastic demands
We consider two-stage stochastic linear production planning problems with partial cooperation including resource pooling, technology transfer and...
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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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A Linearization to the Multi-objective Linear Plus Linear Fractional Program
The structure of the sum of linear plus linear ratio program is complex and đť’©đť’«-completeness. In management science, game theory, and industry,...
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An algorithm to find stable solutions in linear–linear bilevel problems
Bilevel programming is widely used to model applications with two hierarchical decisions defining, respectively, an upper-level (leader) problem and...
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Bitcoin network-based anonymity and privacy model for metaverse implementation in Industry 5.0 using linear Diophantine fuzzy sets
Metaverse is a new technology expected to generate economic growth in Industry 5.0. Numerous studies have shown that current bitcoin networks offer...
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Linear Monte Carlo Methodology
This chapter overviews the well-known basics of the traditional Monte Carlo methodology to define project schedule and cost contingencies. Three... -
Simple Linear Regression
In Albert Einstein’s quote above, he stresses the paramount importance of simplicity. In regression analysis, focusing on only two variables... -
Implicitly normalized forecaster with clip** for linear and non-linear heavy-tailed multi-armed bandits
The Implicitly Normalized Forecaster (INF) algorithm is considered to be an optimal solution for adversarial multi-armed bandit (MAB) problems....
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A Novel Linear Mathematical Model Based Heuristic for a Class of Classification Problem with Non-linearly Separable Data
Classification is a supervised machine learning technique that is used to predict the class or category of a new observation based on training data.... -
Linear Methods for Multivariate Normalization
This chapter introduces the basic linear methods of multivariate normalization and defines some important invariant properties of linear... -
Linear and non-linear linkage between human capital and foreign direct investment inflows into APEC countries: an evidence from panel data
This paper examines how human capital advancement affects FDI in 20 APEC members from 1990 to 2019. Prior literature has studied the subject matter...
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Non-linear Multivariate Normalization Methods
This chapter describes various functional transformations combined with a data normalization procedure in order to limit the influence of... -
Linear Programming
This chapter will introduce linear programming, one of the most powerful tools in operations research. We first provide a short account of the... -
Non-linear pricing effects in conjoint analysis
The application of conjoint analysis to new product development is challenged in studies of complex products that simultaneously examine the major...
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Linear regression
Since linear regression was chosen as the suitable method to analyze the issue yield of green bonds, this chapter deals with the theory behind... -
Grey Systems Theory Approach to Linear Programming
The issues discussed under the programming umbrella are various and have attracted, over time, the interest of the researchers from all around the...