A　comprehensive　evaluation　strategy　is　proposed　to　deal　with　the　evaluation　of　various　trajectory　optimization　algorithms　for　the　hypersonic　reentry　vehicle.　An　integrated　index　system　is　established　by　taking　the　stability　and　real-time　performance　of　each　algorithm　itself　as　well　as　the　feasibility,　security,　transitivity　and　optimality　of　its　optimization　result　into　account.　And　the　calculation　of　index　weights　is　transformed　into　an　optimization　problem　based　on　the　pairwise　judgement　matrix　of　the　analytic　hierarchy　process,　and　the　Euclidean　distance　and　the　number　of　violations　are　used　as　precision　measures.　The　genetic　algorithm　is　used　to　solve　the　optimization　problem.　Then,　the　normalized　decision　matrix　is　obtained,　and　a　weighted　grey　technique　for　order　preference　by　similarity　to　ideal　solution　(TOPSIS)　is　proposed　by　synthesizing　the　nearness　degree　in　both　the　space　and　curve　between　the　algorithm　data　and　the　ideal　control　groups　to　achieve　the　final　evaluation　results.　Simulation　results　show　that　the　proposed　strategy　uses　objective　data　to　quantify　the　performance　of　trajectory　optimization　algorithms,　and　forms　a　comparative　evaluation　standard　for　various　algorithms.　The　strategy　can　help　designers　quickly　select　an　optimal　algorithm　according　to　different　mission　requirements　and　avoid　blindness　and　subjectivity.　©　2016,　Editorial　Office　of　Journal　of　Xi＇an　Jiaotong　University.　All　right　reserved.