The firefly algorithm is a meta-heuristic optimization algorithm inspired by the flashing behaviors of fireflies. It uses randomization to search for solutions within a problem space. Fireflies are attracted to brighter ones, with attractiveness decreasing with distance. The algorithm evaluates potential solutions using an objective function determining brightness. It balances exploration of new areas with exploitation of promising regions to generate improved solutions over time.