tabu search

Tabu search is an optimization technique used to find the best solution among many options. It starts with an initial choice and then explores nearby options by making small changes. To avoid getting stuck in suboptimal solutions, it keeps a "tabu list" of recent moves or solutions it should avoid repeating. This helps the search process explore new areas of the solution space. Over time, this method guides the algorithm toward high-quality solutions efficiently, making it useful for complex problems like scheduling, routing, or resource allocation.