Genetic Algorithms for Multi-objective Crosslinking Chemistry Optimization
Research implements evolutionary algorithms to simultaneously optimize competing objectives including gelation time, mechanical strength, cell viability, and degradation kinetics. This discovery identifies Pareto-optimal crosslinking formulations balancing multiple biological and physical requirements.