Planetary Geology Inspired Optimization: A Novel Methodological Framework

Planetary geology provides a crucial theoretical foundation for understanding the evolution of the solar system by studying the geological evolution of planets and their satellites, such as crustal movement, volcanic eruptions, impact crater formation, and geothermal evolution. This paper proposes a novel optimization algorithm inspired by planetary geology, simulating the search behavior of geodynamic processes in the solution space to achieve global optimum search for complex optimization problems. The algorithm innovatively introduces four mechanisms: Crustal Plate Shift (CPS), Volcanic Lava Flow (VLF), Impact Crater Perturbation (ICP), and a unique Geological Entropy Regulation (GER). The dynamics and update rules of each mechanism are described through pure textual mathematical formulas, achieving an adaptive balance between local search, global exploration, and escaping local optima. This paper elaborates on the algorithm's design philosophy, mathematical model, and multi-level search strategy, providing a complete theoretical framework for optimization methods inspired by planetary geology.