Under low-carbon scheduling, to solve the hybrid lot-streaming flowshop scheduling (HLFS) problem, an improved migratingbirdsoptimisation (IMBO) algorithm is proposed to minimise the total flow time. The neighbourho...
详细信息
ISBN:
(数字)9781728197388
ISBN:
(纸本)9781728197395
Under low-carbon scheduling, to solve the hybrid lot-streaming flowshop scheduling (HLFS) problem, an improved migratingbirdsoptimisation (IMBO) algorithm is proposed to minimise the total flow time. The neighbourhood solution of the population is generated by insertion and exchange, and the population is further optimised by a local search method. In addition, a reset mechanism is added to avoid falling into a local optimum. Extensive computational results demonstrate the feasibility and effectiveness of the proposed algorithm.
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