Abstract. Recent theoretical work helped explain certain optimizationrelated pathologies in cooperative coevolutionary algorithms (CCEAs). Such explanations have led to adopting sp...
Cooperative co-evolution is often used to solve difficult optimization problems by means of problem decomposition. Its performance for such tasks can vary widely from good to disa...
Though recent analysis of traditional cooperative coevolutionary algorithms (CCEAs) casts doubt on their suitability for static optimization tasks, our experience is that the algo...
Abstract. We introduce a model for cooperative coevolutionary algorithms (CCEAs) using partial mixing, which allows us to compute the expected long-run convergence of such algorith...
Abstract. Magnetic resonance (MR) images can be acquired by multiple receiver coil systems to improve signal-to-noise ratio (SNR) and to decrease acquisition time. The optimal SNR ...
Prashanthi Vemuri, Eugene G. Kholmovski, Dennis L....