A Unified Evolutionary Model: Integrating Genesis, Integration, and Optimization with SOMA

This paper presents a unified framework for modeling evolutionary processes through Genesis, Integration, and Optimization phases. The model integrates SOMA data, representing bodily interactions, as external feedback modulating evolutionary trajectories. Simulation results demonstrate how Genesis (rapid growth), Integration (gradual assimilation), and SOMA (periodic feedback) interact dynamically to shape evolution. Performance evaluation is conducted using statistical metrics, and fractal analysis reveals potential scale-free characteristics within SOMA influences, suggesting underlying self-organization. Empirical validation will involve datasets from technological, cultural, biological, and social domains. Future work will focus on enhancing fractal analysis, refining parameter estimation, and broadening interdisciplinary applications.