Vegetation Community Dynamic Optimization: A Theoretical Framework

Vegetation communities in terrestrial ecosystems exhibit high complexity, with their structure and dynamic succession directly impacting ecosystem function, material cycling, and biodiversity. Inspired by this, this study proposes a novel Vegetation Community Dynamic Optimization (VCDO) algorithm, aiming to apply core mechanisms of terrestrial ecology to solving optimization problems. This algorithm integrates four major mechanisms: community succession, root resource network, environmental adaptation, and community diversity-driven optimization, forming an adaptive multi-mechanism optimization strategy. This paper details the mathematical formulas and operational mechanisms of the algorithm from a theoretical perspective, proposing a pure-text mathematical expression for each mechanism, including succession weights, root network weights, environmental stress functions, and community diversity-driven perturbation terms. Through a step-by-step analysis of the algorithm's mechanisms, its unique advantages in balancing global search and local exploitation, adaptability, and diversity maintenance are demonstrated. This paper provides a complete mathematical framework and methodological foundation for future theoretical research and applications of vegetation-heuristic algorithms.