Abstract: The study addresses the order-splitting problem for CBEC, proposing an optimization strategy which considers customer satisfaction to reduce logistics costs from repeated deliveries and improve delivery timeliness. Through numerical analysis, two strategies, "distance-priority allocation" and "flexible allocation", are examined for multi-item order shipping. Optimization models are developed to minimize total fulfillment costs and maximize customer satisfaction, solved by using the NSGA-II algorithm and the INSGA-II algorithm. The experimental results suggest: 1) The adaptive INSGA-II algorithm significantly improves solving efficiency over NSGA-II; 2) Compared to the strategy of distance-priority allocation, the strategy of flexible allocation enhances service quality with moderate cost increases, yielding superior overall benefits; 3) Sensitivity analysis confirms the robust performance of flexible allocation under varying parameters. These findings provide effective insights for CBEC order-splitting optimization.