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Optimization of Logistics Recycling Network for New Energy Vehicle Batteries in Uncertain Environments

Jue Lu

Abstract


The new energy vehicle industry is developing rapidly, and discarded new energy vehicle power batteries need to be recycled and
reused. This study proposes a new comprehensive new energy battery recycling model, establishes a new energy vehicle power battery re_x005fcycling network model considering uncertain conditions, and combines the advantages of taboo search algorithm and genetic algorithm to
design a new hybrid algorithm for solving, verifying the effectiveness and correctness of the model.

Keywords


New Energy Vehicle Power Battery; Uncertainty; Optimization Design of Logistics Network; Tabu Search Genetic Hybrid Opti_x005fmization Algorithm; Integrated Mode

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References


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DOI: https://doi.org/10.18686/utc.v9i4.200

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