Multi-modal multi-objective optimization problems (MMMOPs) have multiple subsets within the Pareto-optimal Set, each independently mapping to same Pareto-Front. Prevalent evolutionary algorithms are not purely designed search for solution subsets, whereas, MMMOPs demonstrate degraded performance in objective space. This motivates design of better addressing MMMOPs. The present work identifies c...

The common distinction between probabilities that can be based on frequencies known to hold in a sequence of repeatable events, and probabilities that concern unique events, and that therefore must be based on subjective opinion, is argued to be misguided. All events are in some relevant sense "unique", and, more importantly, all events can in a relevant sense be placed in classes of similar ev...

the present paper aims to investigate the effects of modularity and the layout of subsystems and parts of a complex system on its maintainability. for this purpose, four objective functions have been considered simultaneously: i) maximizing the level of accordance between system design and optimum modularity design,ii) maximizing the level of accessibility and the maintenance space required,iii...

In the adversarial-perturbation problem of neural networks, an adversary starts with a neural network model F and a point x that F classifies correctly, and applies a small perturbation to x to produce another point x′ that F classifies incorrectly. In this paper, we propose taking into account the inherent confidence information produced by models when studying adversarial perturbations, where...

Testicular cancer represents the most common malignancy in males aged 15-34 years and is considered a model of curable neoplasm. Maintaining success, reducing treatment burden, and focusing on survivorship are then key objectives. Inguinal orchiectomy is the first recommended maneuver that has both diagnostic and therapeutic aims. Most patients are diagnosed with stage I disease (confined to th...

Background: The German National Competence-Based Learning Objectives for Undergraduate Medical Education (NKLM) being adopted in 2015 is designed to contribute to improve the quality of teaching and learning in medicine with respect to competence orientation. For departments, the coherence between teaching, assessment and the content of the catalogues of exam-relevant topics (GK) is a crucial f...

Case-Base Maintenance (CBM) has two important goals. On the one hand, it aims to reduce the size of the case-base. On the other hand, it has to improve the accuracy of the CBR system. CBM can be represented as a multi-objective optimization problem to achieve both goals. Multi-Objective Evolutionary Algorithms (MOEAs) have been recognised as appropriate techniques for multi-objective optimisati...

This paper reports our experience extending an on-line printer controller based on AI planning to handle two significant features of this commercially important domain: execution failures and multi-objective preferences. A printer controller must plan quickly and reliably, otherwise expensive human intervention will be required. Our approach is practical and efficient, and showcases the flexibi...

I observe that, as the physics side of the OPERA-anomaly story is apparently unfolding, there can still be motivation for philosophy of science to analyze the six months of madness physicists spent chasing the dream of a new fundamental-physics revolution. I here mainly report data on studies of the OPERA anomaly that could be relevant for analyses from the perspective of phenomenology of philo...

The aim of this project is to estimate the gaze direction of a football player from video footage. The data processed and analyzed will be video obtained from professional football games, specifically from the “Allsvenskan” league. Currently, the Computer Vision and Perception Lab (CVAP) here at KTH is in collaboration with the Stockholm based, digital media and sports analysis company TRACAB. ...