This paper studies the strategies for multi-objective optimization in a dynamic environment. In particular, we focus on problems with objective replacement, where some objectives ...
Abstract. Active Learning methods rely on static strategies for sampling unlabeled point(s). These strategies range from uncertainty sampling and density estimation to multi-factor...
Genetic algorithms (GAs) and evolution strategies (ESs) are two widely used evolutionary algorithms. The main differences between GAs and ESs lie in their representations and varia...
This paper presents a strategy for structural testing of objectoriented software systems with possibly unknown clients and unknown information about invoked methods. By exploiting...
In a typical dextrous manipulation task, a goal configuration is reached through a sequence of continuous motions. Most often, a motion plan is computed offline and subsequently...