In　this　article,　a　three-dimensional　integrated　guidance　and　control　(IGC)　scheme　is　proposed　for　the　hypersonic　gliding　vehicle　(HGV),　of　which　the　control　parameters　are　determined　by　enhanced　fruit　fly　optimization　algorithm　(EFOA).　Based　on　the　dynamic　and　kinematical　models,　the　IGC　mathematical　model　of　HGV　is　established.　The　control　scheme　is　achieved　using　a　dual-loop　control　structure.　The　backstepping-based　guidance　law　can　generate　the　commands　of　attack　angle,　sideslip　angle,　and　bank　angle,　while　the　attitude　control　utilizes　high-order　sliding　mode　control　to　track　the　desired　flight　attitude　angles.　Additionally,　the　extended　state　observer　is　designed　to　estimate　the　uncertainties　arising　from　the　aerodynamic　parameters　and　model　dynamics.　To　obtain　satisfactory　control　performance,　the　EFOA　is　introduced　to　search　for　optimal　control　parameters,　which　divides　the　whole　fruit　fly　swarm　into　two　subgroups,　and　introduces　the　chaotic　mapping　mechanism　as　well　as　the　exponential　decay　search　strategy　to　improve　the　ability　of　overall　searching　and　local　optimum　jumping.　The　effectiveness　and　robustness　of　the　proposed　EFOA　and　IGC　scheme　are,　respectively,　verified　through　comparative　experiments　under　different　scenarios　and　Monte　Carlo　simulations.