Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
With the growing scale of current computing systems, traditional configuration tuning methods become less effective because they usually assume a small number of parameters in the...
In this paper, we present an efficient method to solve the obstacle-avoiding rectilinear Steiner minimum tree (OARSMT) problem optimally. Our work is a major improvement over the w...
We propose a new fibre tracking algorithm for cardiac DTMRI that parts with the locally "greedy" paradigm intrinsic to conventional tracking algorithms. We formulate the...
DPOP is an algorithm for distributed constraint optimization which has, as main drawback, the exponential size of some of its messages. Recently, some algorithms for distributed c...