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Research on location and route optimization of distribution center in smart city

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Resumo:This thesis addresses critical issues in urban logistics in China, including low distribution efficiency and high costs exacerbated by traffic congestion, damaged goods, transportation delays, and unexpected weather conditions. To address these challenges, the study integrates the concept of "smart cities" and proposes a transformation strategy focusing on key technologies such as distribution center location and distribution route optimization. Its purpose is to use intelligent optimization and information integration to improve efficiency and reduce costs. This study compares the improved algorithm with the existing scheme through empirical analysis, and leverages improved genetic algorithms to refine these logistics processes, specifically for Xi'an Hema Fresh. The algorithm simulates natural selection and genetic variation, utilizing random restart and elite retention strategies, and confirms that the integration of smart city concepts and AI technology can effectively address challenges, thereby reducing costs, increasing efficiency, and improving service quality. This not only proves the effective integration and optimization of smart city technology in urban logistics, but also provides valuable experience and strategies for other cities or regions to implement smart logistics systems. This study validates the application value and feasibility of applying intelligent technology in urban logistics systems. Future research can further optimize the model and explore more practical application scenarios to promote the efficient and sustainable development of smart city logistics systems.
Autores principais:Lu Tianyang
Assunto:Smart Cities Smart logistics Path optimization Algoritmo genético -- Genetic algorithm Cidade inteligente Logística inteligente Otimização de caminhos
Ano:2025
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:ISCTE
Idioma:inglês
Origem:Repositório ISCTE

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