Multiobjective optimization plays an increasingly important role in modern applications,
where several criteria are often of equal importance. The task in multiobjective optimization …

Modern multi-megawatt wind turbines are currently designed as pitch-regulated machines,
ie, machines that use the rotation of the blades (pitching) in order to adjust the aerodynamic …

Finding the ideal conditions satisfying multiple pre-defined targets simultaneously is a
challenging decision-making process, which impacts science, engineering, and economics …

Flexible job shop scheduling problem is a relaxation of the job shop scheduling problem
and is one of the well-known combinatorial optimization problems that has wide applications …

This work presents a novel methodology for solving multi-objective facility location problems
(mo-FLPs) with the focus on public emergency service stations. Our study is one of a few …

One of the most important issues in multi-objective optimization problems (MOPs) is finding
Pareto optimal points on the Pareto frontier. This topic is one of the oldest challenges in …

Advanced control system design for large wind turbines is becoming increasingly complex,
and high-level optimization techniques are receiving particular attention as an instrument to …

We propose a new iterative search procedure for the numerical treatment of unconstrained
multi-objective optimization problems (MOPs) which steers the search along a predefined …

In this paper, we provide a novel framework to assess the vulnerability/robustness of a
network with respect to pair-wise nodes' connectivity. In particular, we consider attackers that …

The pervasiveness of electric vehicles (EVs) has increased recently, which results in the
interdependence of power and transport networks. Power outages may adversely impact the …