【作者】 林丽娜； 郑应文；

【Author】 LIN Li-na,ZHENG Ying-wen(Institute of Automation,Fuzhou University,Fuzhou 350002,China)

【机构】 福州大学自动化研究所；

【摘要】 从提高乘客服务水平和公交企业利益角度来建立城市公交线网优化数学模型;提出一种既能加快进化速度,又能提高抗早熟能力的改进嫁接遗传算法来解决城市公交线网优化问题。算例结果表明了该算法的有效性和优越性以及它在公交线网优化应用的可行性。更多还原

【Abstract】 Considering the service of passengers and the benefit of public traffic vehicles corporations,the city public traffic vehicles network optimization model is established at the given confidence level.An improved algorithm called grafted genetic algorithm featuring rapid speed of evolution and its strong ability to avoid premature convergence is presented.The validity of the proposed grafted genetic algorithm and the feasibility of its application in city public traffic vehicles network optimization are illustrated by an example.更多还原