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NASA NTRS · 20205008366

Generation-based Evolutionary Tool for the Optimization of Constellations (GenETOC)

Joshua Carden·Shaun Deacon·Paul Kessler·Paul Speth
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Abstract

With the rapid growth in the capabilities of smaller satellites, satellite architectures that replace a single, extremely capable spacecraft with multiple, cheaper ones are gaining in popularity. Unfortunately, the orbit design process for constellations can be significantly more involved, especiallywhen the relative placement of the individual spacecraft within the constellation is not constrained by mission and/or science objectives. Optimizing a satellite constellation in the presence of multiple, competing objectives is a highly complex problem to which many traditional mathematical optimization methods cannot be applied and few tools exist to help mission designers search for promising candidate mission designs. The Generation-based Evolutionary Tool for the Optimization of Constellations (GenETOC) has been created to search for near-optimal constellation design options. GenETOC combines a modified version of the Non-dominated Sorting Genetic Algorithm II (NSGA II) with STK Components libraries (a 3rdparty .NET package created by Analytical Graphics Inc.) to create a framework that enables a mission designer to generate a simulation that models the design problem and obtain a family of potential, near-optimal solutions that can be investigated more in detail.

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Joshua Carden, Shaun Deacon, Paul Kessler, Paul Speth. 2021-03-06. Generation-based Evolutionary Tool for the Optimization of Constellations (GenETOC). https://ntrs.nasa.gov/citations/20205008366

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