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Integrating random regret minimization-based discrete choice models with mixed integer linear programming for revenue optimization
This paper explores the critical domain of revenue management (RM) within operations research (OR), focusing on intricate pricing dynamics. Utilizing...
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Marginal effects for non-linear prediction functions
Beta coefficients for linear regression models represent the ideal form of an interpretable feature effect. However, for non-linear models such as...
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Bi-objective Discrete Graphical Model Optimization
Discrete Graphical Models (GMs) are widely used in Artificial Intelligence to describe complex systems through a joint function of interest....
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An Integer Linear Programming Model for Team Formation in the Classroom with Constraints
Teamwork is essential in many industries to tackle complex projects. Thus, the development of teamwork skills is crucial in higher education. In the...
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A hybrid-model optimization algorithm based on the Gaussian process and particle swarm optimization for mixed-variable CNN hyperparameter automatic search
Convolutional neural networks (CNNs) have been developed quickly in many real-world fields. However, CNN’s performance depends heavily on its...
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Mixed Integer Linear Programming for Optimizing a Hopfield Network
This work presents an approach to optimize the weights of a discrete Hopfield network as mixed integer linear program (MILP). As the original...
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A multivariate heavy-tailed integer-valued GARCH process with EM algorithm-based inference
A new multivariate integer-valued Generalized AutoRegressive Conditional Heteroscedastic (GARCH) process based on a multivariate Poisson generalized...
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Integer syndrome decoding in the presence of noise
Code-based cryptography received attention after the NIST started the post-quantum cryptography standardization process in 2016. A central NP-hard...
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Function Optimization
Function optimization plays an important role in most data-driven analytics, computational modeling, machine learning and artificial intelligence....
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Certifying MIP-Based Presolve Reductions for \(0\) – \(1\) Integer Linear Programs
It is well known that reformulating the original problem can be crucial for the performance of mixed-integer programming (MIP) solvers. To ensure...
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Optimization of district heating production with thermal storage using mixed-integer nonlinear programming with a new initialization approach
Non-convex scheduling of energy production allows for more complex models that better describe the physical nature of the energy production system....
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Variant Mixed Integer Linear Programming Model for Merchandises Optimization in Fast-Moving Consumer Goods Industry
With the continuous development of economic globalization and the spread of the new crown epidemic, enterprises face more intense market competition...
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Price elasticity log-log model for cost optimization in D2D underlay mobile edge computing system
The development of 5G/6G aims to provide high mobile computing with ultra-reliable low latency. The implementation of latency-sensitive computing...
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Ijuice: integer JUstIfied counterfactual explanations
Counterfactual explanations modify the feature values of an instance in order to alter its prediction from an undesired to a desired label. As such,...
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Intelligent feature selection model based on particle swarm optimization to detect phishing websites
In the past ten years, due to the rapid growth of the Internet, a huge number of cyber-crimes have been committed on the Internet. One of the crucial...
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Max-min rate optimization for multi-user MISO-OFDM systems assisted by RIS with a wideband model
Reconfigurable intelligent surfaces (RISs) have the capability to change the wireless environment smartly Considering the attenuation of subchannels...
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Integer Programming Applied to Wireless Sensor Networks Topology Optimization
Wireless Sensor Networks (WSNs) are systems with great potential for applications in the most diverse areas such as industry, security, public...
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Acquiring Constraints for a Non-linear Transmission Maintenance Scheduling Problem
Over time, power network equipment can face defects and must be maintained to ensure transmission network reliability. Once a piece of equipment is...
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Placement Optimization of Virtual Network Functions in a Cloud Computing Environment
The use of Network Function Virtualization is constantly increasing in Cloud environments, especially for next-generation networks such as 5G. In...
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Evolutionary Computing for Architecture Optimization
This chapter introduces the basic concepts and notation of evolutionary algorithms, which are basic search methodologies that can be used for...