Search Algorithm

Search algorithms are computational methods designed to efficiently find optimal or near-optimal solutions within large search spaces, addressing problems ranging from pathfinding in robotics to decision-making in games and causal inference. Current research emphasizes improving algorithm efficiency and completeness, particularly for complex scenarios with massive datasets or high branching factors, with advancements focusing on techniques like lazy successor generation, adaptive search areas, and refined heuristic functions within frameworks such as A*, MCTS, and best-first search. These improvements have significant implications for diverse fields, enhancing the performance of autonomous systems, optimizing resource allocation, and accelerating progress in artificial intelligence and related domains.