文献类型：期刊文献

英文题名：Stage-Specific Multi-Objective Five-Element Cycle Optimization Algorithm in Green Vehicle-Routing Problem with Symmetric Distance Matrix: Balancing Carbon Emissions and Customer Satisfaction

作者：Xiang, Yue[1];Guo, Jingjing[2];Mao, Zhengyan[3];Jiang, Chao[4,5];Liu, Mandan[1]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Space Engn Univ, Dept Aerosp Sci & Technol, Beijing 101416, Peoples R China;[3]Shanghai Dev Ctr Comp Software Technol, Shanghai Key Lab Comp Software Testing & Evaluati, Shanghai 201112, Peoples R China;[4]Beijing Univ Technol, Beijing Artificial Intelligence Inst, Fac Informat Technol, Engn Res Ctr Digital Community,Beijing Key Lab Com, Beijing 100124, Peoples R China;[5]Beijing Univ Technol, Beijing Lab Intelligent Environm Protect, Beijing 100124, Peoples R China

年份：2024

卷号：16

期号：10

外文期刊名：SYMMETRY-BASEL

收录：;WOS:【SCI-EXPANDED(收录号:WOS:001343291100001)】；

基金：This research was funded by the Fundamental Research Funds for the Central Universities, Grant No. 222201917006, under the affiliation of the Key Laboratory of Smart Manufacturing in Energy Chemical Process (East China University of Science and Technology), Ministry of Education.

语种：英文

外文关键词：vehicle routing problem; cold chain logistics; customer satisfaction; carbon emission; multi-objective five-element cycle optimization; exploration and exploitation

摘要：This study presents a bi-objective optimization model for the Green Vehicle-Routing Problem in cold chain logistics, with a focus on symmetric distance matrices, aiming to minimize total costs, including carbon emissions, while maximizing customer satisfaction. To address this complex challenge, we developed a Stage-Specific Multi-Objective Five-Element Cycle Optimization algorithm (MOFECO-SS), which dynamically adjusts optimization strategies across different stages of the process, thereby enhancing overall efficiency. Extensive comparative analyses with existing algorithms demonstrate that MOFECO-SS consistently outperforms in solving the multi-objective optimization model, particularly in reducing total costs and carbon emissions while maintaining high levels of customer satisfaction. The symmetric nature of the distance matrix further aids in achieving balanced and optimized route planning. The results highlight that MOFECO-SS offers decision-makers flexible route planning options that balance cost efficiency with environmental sustainability, ultimately improving the effectiveness of cold chain logistics operations.