This paper proposes a novel heuristic optimization algorithm that simulates search space exploration and local optimization behavior based on the volcanic ashfall process. The algorithm incorporates hierarchical deposition mechanisms, volcanic airflow perturbations, ash particle fusion, and deposition feedback mechanisms. Through a multi-scale, multi-level, collaborative optimization strategy, it achieves a balance between global search and local refinement. This paper deduces the algorithm's mathematical model in detail, presenting it in plain text. It also systematically explains its operational mechanism and potential applications.