Evolutionary Computing and Its Use in Medical Imaging

Many scientific problems can be formulated as optimization problems. Among the many classes of algorithms for solving such problems, one interesting, biologically inspired group is that of evolutionary optimization techniques. In this chapter, we provide an overview of such techniques, in particular of genetic algorithms and genetic programming and its related subtasks of selection, crossover, mutation, and coding. We then explore some applications of genetic techniques in the context of medical imaging.