0.1 Fundamentals of Local Search
نویسندگان
چکیده
The basic idea of local search is to find a good local optima quickly enough to approximate the global optima. This idea is somewhat like hill climbing. Starting from an arbitrary point, we try to go down or climb up a little step and compare the objective value at the new point to that at the old point. We then choose the step that increase the objective value. In this manner, we finally reach a local maximal. Such algorithm is also known as ascending or descending algorithm.
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