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- W2965786122 abstract "This contribution introduces a mixed-integer programming formulation for the multi-level, multi-machine proportional lot sizing and scheduling problem. It also presents a genetic algorithm to solve that problem. The efficiency of that algorithm is due to an encoding of solutions which uses a two-dimensional matrix representation with non-binary entries rather than a simple bitstring. A computational study reveals that the proposed procedura works amazingly fast and competes with a tabu search approach that has recently been published." @default.
- W2965786122 created "2019-08-13" @default.
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- W2965786122 date "1996-01-01" @default.
- W2965786122 modified "2023-09-23" @default.
- W2965786122 title "A genetic algorithm for multi-level, multi-machine lot sizing and scheduling" @default.
- W2965786122 hasPublicationYear "1996" @default.
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