From Sun Tzu's Art of War to Modern Warfare: Innovative Applications of Genetic Algorithms in Military Strategic Modelling

Abstract

This paper discusses how complexity theory may help in optimizing military strategy and planning in times of growing uncertainty and complexity. The research establishes a complexity theory-based framework enhanced by genetic algorithm-based strategic filtering to improve adaptability within military operations. While this approach offers valuable insights, its implementation within existing military structures faces practical challenges. These include organizational resistance to non-traditional decision-making processes, limited access to classified military data, and the tendency of commanders to rely on experiential decision-making rather than algorithmic recommendations.The study employs a hybrid approach that integrates logic modeling with genetic algorithm-based strategic filtering to identify key factors influencing military victory. Through a combination of literature review, data analysis, and computational modeling, the study systematically evaluates how adaptive strategies can enhance military effectiveness in complex and dynamic environments.Results indicate that a strong military force, sufficient material preparation, and flexible strategic planning are critical prerequisites for rapid and effective military victory. Statistical analysis confirms a significant positive correlation between strategic planning, tactical execution, and logistical support. Moreover, genetic algorithm-based strategic filtering effectively optimizes military strategies by identifying the most competitive strategic scenarios, reinforcing the foundational assumptions of logic modeling theory.By integrating complexity theory with genetic algorithms, this research introduces a novel framework for optimizing military strategy. The findings provide practical recommendations for military strategists and policymakers, offering new insights into flexible, adaptive, and data-driven decision-making. This study contributes to future military research by suggesting potential pathways for incorporating computational approaches into modern strategic planning.