Optimization of a similarity metric is an essential component in most medical image registration approaches based on image intensities. The increasing availability of parallel comp...
This work focuses on the development of a parallel framework method to improve the effectiveness and the efficiency of the obtained solutions by Multi-objective Evolutionary Algori...
Dipankar Dasgupta, David Camilo Becerra Romero, Al...
We consider the unrelated parallel machines scheduling problem where jobs have earliness and tardiness penalties and a common due date. We formulate this problem and some of its v...
The paper describes a constraint-based solution to the protein folding problem on face-centered cubic lattices—a biologically meaningful approximation of the general protein fol...
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...