Multi-objective Optimization in the selection of a CubeSat PayLoad

This work presents the implementation of a multiobjective optimization framework for the selection of CubeSat's components, designed for remote sensing missions. A literature review has been carried out to analyze the components' features used for different missions. Once the problem is mathematically formulated, a multiobjective optimization algorithm is implemented to find the optimal Pareto set consisting of CubeSat's components, based on open collected data. Three objectives are simultaneously optimized: (1) maximization of system reliability, (2) minimization of investment and (3) profit maximization.