A new heuristic class called front-to-attractors (F2A) has been introduced to enhance bidirectional search algorithms by significantly reducing computational costs while maintaining effectiveness. F2A achieves up to 11.2 times fewer pairwise evaluations compared to traditional front-to-front heuristics, making it a promising advancement in search algorithm efficiency.