8 min read•august 21, 2024
Tabu search is a powerful metaheuristic algorithm for solving complex combinatorial optimization problems. It uses adaptive memory structures to guide the search process, balancing intensification and diversification strategies to explore the solution space efficiently.
The algorithm maintains a to prevent cycling and encourage exploration of new areas. It incorporates short-term and long-term memory structures, aspiration criteria, and various intensification and diversification techniques to find high-quality solutions in challenging problem landscapes.