CAJ | 학술논문

将粒子群算法运用于求解柔性作业车间调度问题，采用基于轮盘赌的编码方法以及基于邻域互换的局部搜索方法。通过两个不同规模算例的试验计算，与基于粒子位置取整的编码方法进行对比分析，说明了轮盘赌编码方法求解柔性作业车间调度问题的有效性。且采用该编码方法的混合粒子群算法在求解柔性作业车间调度问题时具有更好的求解性能。
장입자군산법운용우구해유성작업차간조도문제，채용기우륜반도적편마방법이급기우린역호환적국부수색방법。통과량개불동규모산례적시험계산，여기우입자위치취정적편마방법진행대비분석，설명료륜반도편마방법구해유성작업차간조도문제적유효성。차채용해편마방법적혼합입자군산법재구해유성작업차간조도문제시구유경호적구해성능。
Applying the particle swarm optimisation to solving the flexible job-shop scheduling problem,we adopted the roulette-based encoding method and the neighbourhood swap-based local search method.By the test calculation of two examples with different scales and analysing the comparison of them with the encoding method based on particle position rounding,we proved the effectiveness of the roulette-based encoding method in solving flexible job-shop scheduling problem.Moreover,the hybrid particle swarm optimisation using this encoding method has better solution performance in optimising the flexible job-shop scheduling problem.