New lower bound for the Capacitated Arc Routing Problem

We present a new lower bound, the Multiple Cuts Node Duplication Lower Bound, for the undirected Capacitated Arc Routing Problem. We prove that this new bound dominates the existing bounds for the problem. Computational results are also provided.     

An Ant Colony algorithm hybridized with insertion heuristics for the Time Dependent Vehicle Routing Problem with Time Windows

This paper presents an Ant Colony System algorithm hybridized with insertion heuristics for the Time-Dependent Vehicle Routing Problem with Time Windows (TDVRPTW). In the TDVRPTW a fleet of vehicles must deliver goods to a set of customers, time window constraints of the customers must be respected and the fact that the travel time between two points depends on the time of departure has to be taken into account. The latter assumption is particularly important in an urban context where the traffic plays a significant role.     

Lifted and Local Reachability Cuts for the Vehicle Routing Problem with Time Windows

The Vehicle Routing Problem with Time Windows (VRPTW) requires to design minimum cost routes for a fleet of vehicles with identical capacities to serve a set of customers within given time windows. Each customer must be visited exactly once and the load of a vehicle must not exceed its capacity.     

求解带时间窗车辆路径问题的动态混合蚁群优化算法

为求解带时间窗车辆路径问题,针对传统蚂蚁遗传混合算法中参数静态设置、冗余迭代及收敛速度慢等缺点,提出一种动态混合蚁群优化算法( DHACO)。该算法首先借助最大最小蚁群得到初始解,利用蚁群优化算法求解带时间窗车辆路径问题的基本可行解。然后采用遗传算法交叉和变异操作对局部解和全局最优解进行二次优化,从而得到最优解。最后利用蚂蚁遗传混合算法融合策略,动态交叉调用蚂蚁算法、遗传算法,根据云关联规则自适应控制蚁群算法参数。 DHACO有效减少无效迭代次数,加快收敛速度。仿真结果表明,与其他相关的启发式算法相比,DHACO优于某些实例的已知最优解。