Evolutionary Algorithms (EAs) have been largely applied to optimisation and synthesis of controllers. In spite of several successful applications and competitive solutions, the st...
A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
: This paper describes a new hybrid technique that combines a Greedy Randomized Adaptive Search Procedure (GRASP) and a genetic algorithm with simulation features in order to solve...
Ana C. Olivera, Mariano Frutos, Jessica Andrea Car...
In this paper, we study the problem of learning block classification models to estimate block functions. We distinguish general models, which are learned across multiple sites, an...
We consider blog feed search: identifying relevant blogs for a given topic. An individual’s search behavior often involves a combination of exploratory behavior triggered by sal...
Wouter Weerkamp, Krisztian Balog, Maarten de Rijke