This paper characterizes general optimization problems into four categories based on the solution representation schemes, as they have been the key to the design of various evolutionary algorithms (EAs). Four EAs have been designed for different formulations with the aim of utilizing similar and generalized strategies for all of them. Several modifications to the existing EAs have been proposed...

A central concern in neo-institutional research is the genesis of new organizational fields. This article explores the emergence of the MPB (Brazilian Popular Music) field in tandem with the organization of music festivals in the sixties. The festivals were instrumental in combining musicians, critics and the audience in a forum relatively buffered from the music industry influence. This intera...

Not too many years ago, scholars could reasonably speak of the U.S. Supreme Court as being among the most activist in American history. Both empirical and normative scholarship was driven by the sense of a Court that was aggressive in the assertion of its own supremacy and active in the exercise of the power of judicial review. The Court under Chief Justice John Roberts cannot be viewed in the ...

We describe EMOBANK, a corpus of 10k English sentences balancing multiple genres, which we annotated with dimensional emotion metadata in the Valence-ArousalDominance (VAD) representation format. EMOBANK excels with a bi-perspectival and bi-representational design. On the one hand, we distinguish between writer’s and reader’s emotions, on the other hand, a subset of the corpus complements dimen...

In recent years the generativity of digital artifacts (DA) has gained much attention in the literature on innovation. DA are seen as capable of driving innovation in businesses and public services through their capability of being combined with other modules and also embedded as subcomponents of systems designed for other purposes. Therefore a digital product can be seen as an intermediate stat...

State estimators for induction motors are generally designed based on standard simplified models, assuming linear magnetic characteristics. Since they are actually nonlinear, especially for high power machines, the mentioned state estimators are likely not able to achieve the estimation accuracy they have been designed for. In this paper, a new state estimator is developed for a (uniform air-ga...