[كتاب][B] Set-valued optimization
AA Khan, C Tammer, C Zalinescu - 2016 - Springer
Set-valued optimization is a vibrant and expanding branch of applied mathematics that
deals with optimization problems where the objective map and/or the constraint maps are …
deals with optimization problems where the objective map and/or the constraint maps are …
[كتاب][B] Risk, surprises and black swans: fundamental ideas and concepts in risk assessment and risk management
T Aven - 2014 - taylorfrancis.com
Risk, Surprises and Black Swans provides an in depth analysis of the risk concept with a
focus on the critical link to knowledge; and the lack of knowledge, that risk and probability …
focus on the critical link to knowledge; and the lack of knowledge, that risk and probability …
Algorithm engineering in robust optimization
Robust optimization is a young and emerging field of research having received a
considerable increase of interest over the last decade. In this paper, we argue that the …
considerable increase of interest over the last decade. In this paper, we argue that the …
A gradient-descent-based framework for solving a stochastic two-echelon delivery problem with cargo-bikes
In this paper, we examine a stochastic two-echelon vehicle routing problem (2e-VRP) using
cargo bikes within hyperconnected networks. The focus is on the integration of both delivery …
cargo bikes within hyperconnected networks. The focus is on the integration of both delivery …
Generalized light robustness and the trade-off between robustness and nominal quality
Robust optimization considers optimization problems with uncertainty in the data. The
common data model assumes that the uncertainty can be represented by an uncertainty set …
common data model assumes that the uncertainty can be represented by an uncertainty set …
The relationship between multi-objective robustness concepts and set-valued optimization
In this paper, we discuss the connection between concepts of robustness for multi-objective
optimization problems and set order relations. We extend some of the existing concepts to …
optimization problems and set order relations. We extend some of the existing concepts to …
On how to deal with deep uncertainties in a risk assessment and management context
Recently, several authors have presented interesting contributions on how to meet deep or
severe uncertainties in a risk analysis setting. In this article, we provide some reflections on …
severe uncertainties in a risk analysis setting. In this article, we provide some reflections on …
[كتاب][B] Scalarization and separation by translation invariant functions
C Tammer, P Weidner - 2020 - Springer
Our scientific collaboration began about 35 years ago, when both of us had just finished our
Ph. D. Theses. The first article which we submitted together dealt with a certain type of …
Ph. D. Theses. The first article which we submitted together dealt with a certain type of …
A robust bus evacuation model with delayed scenario information
Due to natural or man-made disasters, the evacuation of a whole region or city may become
necessary. Apart from private traffic, the emergency services also need to consider transit …
necessary. Apart from private traffic, the emergency services also need to consider transit …
Recovery-to-optimality: A new two-stage approach to robustness with an application to aperiodic timetabling
The goal of robust optimization is to hedge against uncertainties: in most real-world
applications, the specific problem instance depends on uncertain data and is hence not …
applications, the specific problem instance depends on uncertain data and is hence not …