摘要
运用一种基于加速遗传算法的层次分析方法,对废旧塑料的资源化路线进行了优化选择尝试.在介绍其原理的同时,提出了一种以投资少、运营成本低、处理量大、适应性强、市场广阔为目标的最佳资源化排序模型.
By a process of hierarchy analysis based on accelerating genetic algorithm, an optimum seeking method has been tested for converting waste plastics into useful materials. With the principle introduced, a sequence model of waste plastics optimal utilizing, which aims at less investment, low cost, handling in quantity, strong adaptability, and high degree of acceptance on market, is brought forward.
出处
《烟台大学学报（自然科学与工程版）》
CAS
2004年第2期135-140,共6页
Journal of Yantai University(Natural Science and Engineering Edition)
基金
国家自然科学基金项目资助(60278036)
烟台大学青年基金项目资助(TM02Z8).
关键词
废旧塑料
加速遗传算法
层次分析
系统优化
废物资源化
环境保护
accelerating genetic algorithm
hierarchy analysis
system optimization
waste plastics
converting waste into useful material
environmental protection
