Director-Inspired Creative Optimization Algorithm

Directors undertake multiple decision-making tasks in film and television production, including macro-level control of plot pacing, micro-level adjustments to shots and actor performances, and creative experimentation. This paper proposes an optimization algorithm inspired by directors' decision-making behaviors—the Director-Inspired Creative Optimization (DICO) algorithm. This algorithm simulates the decision-making characteristics of directors during the creative process through three mechanisms: macro-weight guidance, local fine-tuning, and emotion-driven creative feedback. This paper details the algorithm's modeling approach, mathematical formulas, and iterative optimization strategies, providing a comprehensive theoretical framework and offering new perspectives for optimization algorithm research and creative decision-making modeling.