摘要
该文首先分析了多目标运输方式选择多目标优化问题的数学模型及虚拟传输网络图,其次对传统遗传算法的染色体编码方式、交叉算子、变异算子进行了重新设计,并且重新定义了适应度函数,最后通过实例分析验证了改进的遗传算法解决多目标运输问题的优越性。
The paper analyses the mathematics model and virtual transportation network for multi-object optimization of transportation modes selection in multi-object transportation firstly.Secondly,the chromosome coding,crossover operator and mutation operator is redesigned and the fitness Function is also redefined for Genetic algorithm.Finally,the superiority of solving the multi-objective transport problems with genetic algorithms is demonstrated by example.
出处
《电脑知识与技术》
2009年第6X期4854-4855,4864,共3页
Computer Knowledge and Technology
关键词
多目标运输
虚拟传输
遗传算法
multi-object transportation
virtual transportation
genetic algorithm
