Gradient ascent tries to find the highest poiht in a fitness landscape by following the direction with the fastest gain in value. It is equivalent to gradient descent, but with the fitness function inverted. Hill climbing is the simplest use of gradient ascent, but other algorithms either use it mixed with other methods.
Used in Chap. 9: page 122