Local search is about finding the best point within a region of the fitness landscape. It is about fine tuning the parameters of a model. It is about fine tuning the parameters of a model. Techniques such as hill climbing or gradient descent for continuous paramters work well at this scale. Local search is in contrast to global search, which is about finding the best overall region.
Used in Chap. 9: pages 122, 123