| 面向绿色制造的柔性作业车间调度优化 |
| Scheduling Optimization of Flexible Job Shop for Green Manufacturing |
| 投稿时间：2014-07-03 |
| 中文关键词:绿色制造 遗传算法 柔性作业车间调度 |
| 英文关键词:green manufacturing genetic algorithm flexible job shop scheduling |
| 基金项目:2014年度河北省社会科学发展研究课题（201430612）；2015年河北省高校人文社科重点项目（SD151080）阶段性成果 |
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| 中文摘要: |
| 针对面向绿色制造的柔性作业车间调度问题，建立了以完工时间最优、能量消耗和环境影响最小为目标的调度模型，并采用遗传算法对模型进行求解。根据模型特点，采用机器染色体和工序染色体两种编码，并对初始种群的形成机制进行改进，采用精英策略和锦标赛法进行种群选择，两种染色体分别进行交叉和变异操作。最后通过实例对改进的遗传算法进行测试，并与其他方法的测试结果进行比较，验证了该算法的可行性和有效性。 |
| 英文摘要: |
| In this paper, an optimization model of the scheduling of flexible job shop for green manufacturing is built. The goal of the model is the optimal completion time and minimal energy consumption and environmental impact, and genetic algorithm is used to solve the model. According to the model characteristics, two ways are used to encode (machines chromosomes and processes chromosomes). This paper improves the formation mechanism of initial population. The elite strategy and championship method is used to select the species and crossover and mutation operation is conducted respectively for two chromosomes. The improved genetic algorithm is tested with an instance used other methods and compared with the test results, which shows that the improved genetic algorithm is effective for solving FJSP． |
| 臧维娜,高国生.面向绿色制造的柔性作业车间调度优化[J].石家庄铁道大学学报(自然科学版),2015,(4):87-93. |
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