【摘要】 随着物流行业的发展，消费者更加注重服务质量，企业竞争重点转向客户体验。文中将基于生鲜冷链配送模型，充分考虑客户满意度，同时兼顾固定成本、损耗、碳排放等约束条件，构建客户满意度最大、总成本最小的双目标优化模型。在鲸鱼优化算法的基础上构建具有动态参数调整能力的改进型鲸鱼优化算法，然后通过对算例进行仿真，分别对比最优值以及平均值。结果表明，改进算法有效提升了全局搜索能力与收敛效率，规避了局部极值问题，为相关研究与企业实践提供了重要参考。更多还原

【Abstract】 With the evolution of the logistics industry, consumers’ emphasis has shifted toward service quality, and corporate competition now centers on customer experience. This study develops a dual-objective optimization model for fresh cold chain distribution that aims to maximize customer satisfaction and minimize total cost, while incorporating constraints such as fixed costs, product loss, and carbon emissions. An improved whale optimization algorithm with dynamic parameter adjustment capability is proposed. Simulation results demonstrate that the enhanced algorithm significantly improves global search capability and convergence efficiency, effectively avoiding local optima, and offers valuable insights for both research and practical applications in cold chain logistics.更多还原