A　Multi-Objective　Pareto　Collaboration　Optimization　algorithm　(MOPCO)　is　investigated　to　solve　multi-objective　multi-disciplinary　trajectory　design.　Through　the　concurrency　of　system　level　optimizer　and　subsystem　lever　optimizer　with　response　surface　technology,　the　multi-objective　multi-disciplinary　optimization　(MDO)　problem　is　decomposed.　And　then　the　NSGA-II　algorithm　is　used　to　search　the　Pareto　front.　The　normal　test　case　indicates　the　feasibility　of　MOPCO.　Finally　MOPCO　is　applied　to　the　fixed　static/dynamic　reentry　trajectory　design　and　search　the　rational　Pareto　front　successfully.