• Multi-objective optimization models integrating stiffness, strength, toughness, and dynamic damping were developed for nacre-inspired composites.
• NSGA-II algorithm efficiently generated a Pareto front of optimal structural parameters, enabling balanced trade-offs among conflicting mechanical properties.
• The optimal solution ranges were validated against real nacre and artificial biomimetic composites, confirming model accuracy.
• The proposed method provides a systematic design strategy for fabricating load-bearing bio-inspired materials with tailored performance.