A GA-based household scheduler

One way of making activity-based travel analysis operational for transport planning is multi-agent micro-simulation. Modelling activity and trip generation based on individual and social characteristics are central steps in this method. The model presented here generates complete daily activity schedules based on the structure of a household and its members’ activity calendars. The model assumes that the household is another basic decision-making unit for travel demand aside from individual mobility needs. Results of the model are schedules containing complete information about activity type and sequence, locations, and means of transportation, as well as activity start times and durations. The generated schedules are the outcome of a probabilistic optimisation using genetic algorithms. This iterative method improves solutions found in a random search according to the specification of a fitness criterion, which equals utility here. It contains behavioural assumptions about individuals as well as the household level. Individual utility is derived from the number of activities and their respective durations. It is reduced by costs of travelling and penalties for late, respectively early arrival. The household level is represented directly by the utility of joint activities, and indirectly by allocation of activities and means of transportation to household members. The paper presents initial tests with a three-person household, detailing resulting schedules, and discussing run-time experiences. A sensitivity analysis of the joint utility parameter impact is also included.     

技术人员职称结构的一种预测模型及算法

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改进遗传算法在磁悬浮轴承控制中的应用

改进后的遗传算法通过二次演化能够有效地避免算法中容易陷入局部最优值的缺陷.这里采用改进后的遗传算法来对磁悬浮轴承控制器中的PID参数进行了整定,仿真结果表明该算法具有良好的整定效果.     

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将快速模幂算法、快速模乘算法和快速加法组合,提出了一种大数快速RSA算法,并利用该算法给出了一个RSA公开密钥的加解密硬件实现方案.首先采用m ary方法,减少模乘运算次数;其次采用Montgomery改进算法,减少模加运算次数;最后,采用高速加法器并调整加法与乘法的结构使其同时运行,以节约资源.对于1024位操作数,在100MHz时钟频率下,加密速率约为390kbit/s.     

移动闭塞条件下的ATO子系统运行控制算法分析

基于移动闭塞技术的ATC系统是城市轨道交通信号系统的发展趋势,其中ATO子系统是实现城轨高效率、低能耗、高舒适度的关键技术。通过对多种智能控制算法的特点分析,指出采用不同算法的ATO子系统在实现其功能的过程中各有其不同优势侧重点。并提出可结合多种智能算法的优势实现对ATO子系统的进一步优化。     

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基于L-M贝叶斯正则化方法使BP神经网络在推广能力、收敛速度和逼近精度上能够获得很大的提高.文中将BP神经网络和L-M贝叶斯正则化算法相结合用于潜艇声纳部位自噪声预报.分析了影响声纳部位自噪声的各种参数.利用潜艇声纳实测数据进行网络训练,训练好的神经网络可以对潜艇声纳部位自噪声进行精确预报.