In computer science, local search is a heuristic method for solving computationally complex optimization problems. The local search can be used in problems that can be formulated such as the search for a solution that maximizes a criterion among a series of candidate solutions. Any company that has a physical location or serves a geographical area can benefit from local SEO. If you search Google for important keywords related to your company and below it appears a map with 3 ads (also known as a map package), local SEO can help you grow your business.
The local search algorithm explores and evaluates different solutions (search space) by applying local changes until an optimal solution is achieved or certain iterations are calculated. Below, we list several specific heuristics to improve local search, with the main objective of escaping local minimums. Since the local search depends on the initial solution, there is a high chance of being stuck in a local optimal. Improvements to the SLS can be made in the selection of the initial task and in the nature of the local changes considered, or by trying to escape local minimums.
As a local business, you have the opportunity to appear in the main organic search results and in the local map package at the same time. Usually, moving from one state to the next involves only a local change in the value of a single variable, hence the name local search.