A GA-based household scheduler

The paper presents a genetic algorithm based scheduler for households of arbitrary size, which is based on the earlier single person scheduler of Charypar and Nagel, 2004. It achieves the syn- chronisation of activities through the inclusion of an additional utility element for the shared time. It also expands the description of the utility function by considering the interval between rhythmic activities, such as sleep or hunger. The paper presents initial tests with two and three person households visualising the resulting schedules and discussing the run time experiences. A sensitivity analysis of the impact of the joint activity utility parameter is also included. This first implementation of such GA-based and efficient household scheduler opens up new avenues for travel behaviour research