Published January 9, 2018 | Version v1
Journal article Open

GTOC 9: Results from Michigan Technical Univeristy and University of Michigan (team MTU-UoM)

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This paper presents the methods developed by the Michigan Tech Univeristy and University of Michigan (MTU-UoM) team in the 9th GTOC along with the obtained results. Several concepts were investigated, specially regarding the selection of the sequence of debris to be removed in each mission. These concepts will be briefed in this paper and the concept that produced this team’s best solution is presented in detail. A genetic algorithm is used as an outer loop optimization tool to determine the sequence of debris to be removed. An inner loop optimizer is used to tune the individual transfers in each mission. This team’s best solution consists of 16 missions that removes 122 debris with a cost of 1192.74 MEURs.

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