A novel parallel quantum genetic algorithm for stochastic job shop scheduling. (English) Zbl 1174.90006

The paper investigates the so-called job-shop-scheduling problem, i.e., there is a certain number of jobs that have to be completed on a given number of machines according to a given sequence of operations. The processing times of the jobs on the machines are assumed to be normally distributed. The objective is to find a strategy that minimizes the sum of the expected completion times for the jobs. To solve this problem a parallel quantum genetic algorithm is proposed. The performance of the algorithm is tested by means of three “standard benchmark problems” using simulations.


90B36 Stochastic scheduling theory in operations research
68W10 Parallel algorithms in computer science
Full Text: DOI


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