Abstract
A hybrid differential evolution (HDE) algorithm that minimizes the total earliness and tardiness time (ET), a just-in-time objective, is studied for a single-batch-processing machine (SBPM) scheduling problem with different processing times, release times, sizes and delivery times. A hybrid differential evolution algorithm with an integrated Tabu search (TS) algorithm is proposed to improve the capacity of the neighborhood search of a differential evolution algorithm (DE). The experimental results show that the proposed HDE can obtain better an objective value than the basic DE can.
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