In recent years optimization has been widely used in in many problems in biomedicine. These problems are inherently complex and very di±cult to solve.
In this talk we are going to focus on global optimization techniques (multi- quadratic 0-1 integer programming) in computational neurosciences and bi- clustering (nonlinear fractional 0-1 integer programming) based data mining approaches in cancer research. In addition, several other applications will be brie°y discussed.
© 2001-2024 Fundación Dialnet · Todos los derechos reservados