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We developed an Advanced Life Support systems scheduler (ALS scheduler) to back up the habitation experiments of Closed Ecology Experiment Facilities (CEEF), and integrated the Lagrangian decomposition and coordination method for a scheduling algorithm of the scheduler. Later research revealed that when comparing solutions obtained by the Lagrangian decomposition and coordination method and by a skilled operator, respectively, a schedule sought by the skilled operator has different features from those of a schedule sought by the Lagrangian decomposition and coordination method. This paper describes how to generate a schedule such as one created by a skilled operator, while reducing complexity by integrating empirical knowledge to the Lagrangian decomposition and coordination method.

A habitation experiment using the Closed Ecology Experiment Facilities was started in 2005. In the future, the stays will be gradually extended. We have been developing the three layered control software for a Control Computer System of the Closed Ecology Experiment Facilities in order to back up the habitation experiments. In this paper, we will show the development of an operation scheduling system for one of the three layers, such as at the planning and scheduling level, and discuss the development of a scheduling algorithm that does not cause the complexity of the ALS scheduler to be exponentially increased.

Closed Ecology Experimental Facilities, CEEF, is designed to regenerate everything required for living, such as air, water, and food. Researchers called “econauts” play a crucial role in maintaining the system in good order. CEEF must involve confinement, which is one of the major factors responsible for deterioration in crew health and performance. Two econauts repeated 7-day habitation in the CEEF 3 times in 2005. Blood cells, hormones and mood status were analyzed. Although clinically no problem, changes of mood status and a stress hormone correlated in an econaut. Characteristic changes were observed in leukocyte ratio. These data are essential in considering the effects of forthcoming long-term habitation in CEEF.