Multi objective optimization for UAV navigation equipment test table design

TL;DR: The six lower level optimizations are driven by a top system level optimization by approach based on hybrid bilevel evolutionary algorithm using quadratic approximations, which is used for the navigation equipment test table design.

Abstract: Real world test equipment design optimization problems are a class of challenging multiobjective optimization problems, which may contain two levels of optimization tasks. In these problems, the optimal solutions to the lower level problems become possible feasible candidates to the upper level problem. A bilevel optimization is used for the navigation equipment test table design. The six lower level optimizations are driven by a top system level optimization by approach based on hybrid bilevel evolutionary algorithm using quadratic approximations.