The seminar "Hybrid and Robust Approaches to Multiobjective Optimization" was a sequel to two previous Dagstuhl seminars (04461 in 2004 and 06501 in 2006). The main idea of this seminar series has been to bring together two contemporary elds related to multiobjective optimization Evolutionary Multiobjective Optimization (EMO) and Multiple Criteria Decision Making (MCDM) to discuss critical rese...

When investing in cyber security resources, information security managers have to follow effective decision-making strategies. We refer to this as the cyber security investment challenge. In this paper, we consider three possible decision-support methodologies for security managers to tackle this challenge. We consider methods based on game theory, combinatorial optimisation and a hybrid of the...

The use of renewable energy technologies is a key factor for sustainable development but their selection from several alternatives difficult task that relies on the careful assessment relevant criteria. While Multiple Criteria Decision Making (MCDM) methods have been used successfully in various technology problems, decision process becomes more challenging when preferential judgements are made...

When investing in cyber security resources, information security managers have to follow effective decision-making strategies. We refer to this as the cyber security investment challenge. In this paper, we consider three possible decision support methodologies for security managers to tackle this challenge. We consider methods based on game theory, combinatorial optimisation, and a hybrid of th...

controller design and optimization problems, with more than one objective, are referred as multiple objectives or multiple attributed problems. in this paper, a novel method is proposed for designing optimum pid controller that is called genetic multiple attributed decision making method (gmadm). this method is newer than the previous methods and in this paper some options are considered that h...

The protection of assets, including IT resources, intellectual property and business processes, against security attacks has become a challenging task for organizations. From an economic perspective, rms need to minimize the probability of a successful security incident or attack while staying within the boundaries of their information security budget in order to optimize their investment strat...

Data Envelopment Analysis (DEA) is a method for measuring the efficiency of peer decision making units (DMUs) with multiple inputs and outputs. The traditional DEA treats decision making units under evaluation as black boxes and calculates their efficiencies with first inputs and last outputs. This carries the notion of missing some intermediate measures in the process of changing the inputs to...