Local search is about finding the best point within a region of the fitness landscape. It fine tunes the parameters of a model. Techniques such as hill climbing or gradient descent for continuous parameters 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
Used in glossary entries: fitness landscape, global search, gradient descent, hill climbing algorithm