The document discusses using an adaptive algorithm to improve geographical search in networks. The algorithm uses agents that combine elements of known search strategies and adjust their weights based on traversal length. The agents traverse randomly generated graphs to find a goal node. Over many trials on diverse network topologies, the agents' strategies evolve to find shorter paths. This adaptive approach could discover search strategies tailored to different graph characteristics.