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A framework for measures of risk under uncertainty
A risk analyst assesses potential financial losses based on multiple sources of information. Often, the assessment does not only depend on the...
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A Recycling Heuristic Capable of Generating Initial Solutions for Use in Vehicle Routing Metaheuristics
Instances of the vehicle routing problem (VRP) and its variants are notoriously difficult to solve. Moreover, when combining characteristics of...
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Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem
In this paper, we consider the symmetric multi-type non-negative matrix tri-factorization problem (SNMTF), which attempts to factorize several...
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Optimizing ventilation in medium- and short-term mine planning
Mine planners utilize production schedules to determine when activities should be executed, e.g., blocks of ore should be extracted; a medium-term...
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On the computation of Nash and Pareto equilibria for some bi-objective control problems for the wave equation
This paper deals with the numerical implementation of a systematic method for solving bi-objective optimal control problems for wave equations. More...
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Predicting the Near-Optimal Mesh Spacing for a Simulation Using Machine Learning
This paper presents a novel approach, based on neural networks, to predict the mesh spacing for a simulation by making use of the large amount of...
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A dynamic programming based method for optimal control of a cascaded heat pump system with thermal energy storage
The residential heating and cooling sector has been increasingly electrifying, predominantly using electrically driven heat pumps (HP) in combination...
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A simplicial homology algorithm for Lipschitz optimisation
The simplicial homology global optimisation (SHGO) algorithm is a general purpose global optimisation algorithm based on applications of simplicial...
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Making Predictions Using Poorly Identified Mathematical Models
Many commonly used mathematical models in the field of mathematical biology involve challenges of parameter non-identifiability. Practical...
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Variable Neighborhood Search Approach to Community Detection Problem
Community detection on graphs can help people gain insight into the network’s structural organization, and grasp the relationships between network...
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Hybrid multi-objective Bayesian estimation of distribution algorithm: a comparative analysis for the multi-objective knapsack problem
Nowadays, a number of metaheuristics have been developed for efficiently solving multi-objective optimization problems. Estimation of distribution...
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The p-Lagrangian relaxation for separable nonconvex MIQCQP problems
This paper presents a novel technique to compute Lagrangian bounds for nonconvex mixed-integer quadratically constrained quadratic programming...
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Fractional Order Iteration for Gradient Descent Method Based on Event-Triggered Mechanism
In this work, a novel gradient descent method based on event-triggered strategy has been proposed, which involves integer and fractional order...
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A concept of copula robustness and its applications in quantitative risk management
In financial and actuarial applications, marginal risks and their dependence structure are often modelled separately. While it is sometimes...
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Minimizing total completion time in large-sized pharmaceutical quality control scheduling
This paper proposes an algorithm for the effective scheduling of analytical chemistry tests in the context of quality control for pharmaceutical...
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Three-Rigid-Body-Particle Modeling and Optimization of Trajectory and Posture for Alpine Skiing
This paper presents a new study on modeling and optimization of trajectory and posture for the super-giant (SG) slalom of alpine skiing. It is the...
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Aerodynamic/stealth design of S-duct inlet based on discrete adjoint method
It is a major challenge for the airframe-inlet design of modern combat aircrafts, as the flow and electromagnetic wave propagation in the inlet of...
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Bregman Methods for Large-Scale Optimization with Applications in Imaging
In this chapter we review recent developments in the research of Bregman methods, with particular focus on their potential use for large-scale...
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Bregman Methods for Large-Scale Optimization with Applications in Imaging
In this chapter we review recent developments in the research of Bregman methods, with particular focus on their potential use for large-scale...