Rock Cluster Dynamic Aggregation Optimization

This paper proposes an optimization algorithm inspired by the natural process of rock stock formation, called Rock Cluster Dynamic Aggregation Optimization (RCDO). This algorithm simulates the distribution, aggregation, and unstable reorganization of rock stocks in geological environments. It incorporates a dynamic rock stock grouping mechanism, an energy-driven reorganization mechanism, dynamic neighborhood weights, and an adaptive perturbation factor to achieve a balance between global exploration and local exploitation. Through a detailed description of the algorithmic process, mathematical modeling, and innovative mechanisms, this paper provides a systematic optimization framework that can be widely applied to continuous and hybrid optimization problems.