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- W4367459196 abstract "With the development of science and technology and the continuous improvement of the professional level of logistics, customers have higher and higher requirements for service quality and effectiveness. More and more enterprises take the dynamic logistics network multi-objective optimization management model as an important means to improve the market competitiveness and core competition level. Memetic algorithm is a flexible combination of evolutionary algorithm and some local search algorithms. Memetic algorithm is a flexible framework, which can select appropriate search strategies according to different problem models to form different memetic algorithms. In this paper, memetic algorithm and multi-objective optimization management method are used to establish the multi-objective optimization management model of dynamic logistics network and carry out relevant experimental verification, in order to improve the overall logistics level of our country through the multi-objective optimization management model of dynamic logistics network established by memetic algorithm." @default.
- W4367459196 created "2023-05-01" @default.
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- W4367459196 date "2023-01-01" @default.
- W4367459196 modified "2023-09-26" @default.
- W4367459196 title "Multi Objective Optimization Management Model of Dynamic Logistics Network Based on Memetic Algorithm" @default.
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- W4367459196 doi "https://doi.org/10.1007/978-3-031-31860-3_44" @default.
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