摘要
对退役产品进行回收及再制造能够降低二氧化碳的排放量,但尚没有一个定量模型对退役产品的整个回收及再制造过程的碳排放进行评估。针对这种现状,以工程机械退役产品为对象,对回收及再制造过程中的"碳足迹"进行深入研究,建立了工程机械产品回收及再制造过程的碳排放评估模型;并采用改进的混合遗传算法对模型进行了求解,该算法将遗传算法和模拟退火算法相结合以克服它们各自在局部搜索和全局搜索方面的缺陷,引入了竞争机制和自适应机制来进一步抑制算法的早熟,实现了对复杂回收及再制造网络系统的高效处理。实例结果表明,该模型能够有效地解决退役产品回收及再制造系统的碳排放计算问题。
Recycling and remanufacturing of end-of-life machinery products can reduce CO2 emissions, but there is not yet a quantitative model to evaluate the overall carbon emission during the whole recycling and remanufacturing process. In view of this situation, with the end-of-life machinery products as the object, the “carbon footprint” in the process of recycling and remanufacturing is studied in depth, and a carbon emission evaluation model for the recycling and remanufacturing of machinery products is established. Then the improved hybrid genetic algorithm is used to solve the model, the genetic algorithm and simulated annealing algorithm are combined to overcome their shortcomings in local search and global search. The competitive mechanism and adaptive mechanism are introduced to further suppress the precocity of the algorithm and realize the efficient processing of the complex recycling and remanufacturing network system. The example results show that the model can effectively solve the problem of end-of-life machinery products carbon emission calculation in the recycling and remanufacturing system.
出处
《计算机应用与软件》
2017年第4期42-47,109,共7页
Computer Applications and Software
基金
国家自然科学基金项目(71473077)
国家高技术研究计划项目(2013AA040206)
