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- W2029704385 abstract "This paper proposes a locality-sensitive hashing based multiobjective memetic algorithm namely LSH-MOMA for solving pickup and delivery problems with dynamic requests (DPDPs for short). Particularly, LSH-MOMA is designed to find the solution route of a DPDP by optimizing objectives namely workload and route length in an evolutionary manner. In each generation of LSH-MOMA, locality-sensitive hashing based rectification and local search are imposed to repair and refine the individual candidate routes. LSH-MOMA is evaluated on three simulated DPDPs of different scales and the experimental results demonstrate the efficiency of the method." @default.
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- W2029704385 date "2014-07-01" @default.
- W2029704385 modified "2023-09-26" @default.
- W2029704385 title "Locality-sensitive hashing based multiobjective memetic algorithm for dynamic pickup and delivery problems" @default.
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- W2029704385 doi "https://doi.org/10.1109/cec.2014.6900653" @default.
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