Herein,　an　in-depth　exploration　of　the　trajectory　optimization　process　of　multilateral　thin　metal　rubber　(MT-MR)　in　laying　to　build　a　virtual　fabrication　model　that　reflects　the　morphology　and　macro-properties　of　material　is　done.　According　to　the　MT-MR　automatic　blank　laying　process,　which　is　based　on　the　iteration　mechanism　of　a　local　coordinate　system　in　global　space,　and　dynamically　coupling　with　the　Rodrigues　rotation　matrix,　a　parametric　curve　model　under　3D　random　trajectory　is　constructed.　Based　on　the　evaluation　of　the　background　grid　projection　method,　the　optimization　of　the　blank　forming　path　of　MT-MR　is　discussed　in　depth　using　the　improved　multi-objective　genetic　algorithm,　and　a　MT-MR　complex　network　structure　model　based　on　the　path　optimization　laying　process　is　constructed.　The　structure　and　performance　optimization　of　MT-MR　is　further　verified　by　combining　virtual　fabrication　technology　and　experimental　means.　The　results　show　that　compared　with　MT-MR　with　traditional　experience-based　trajectory　laying,　the　component　with　automatic　trajectory　laying　optimization　based　on　an　improved　genetic　algorithm　has　a　more　uniform　and　compact　wire　turn　structure.　Therefore,　an　in-depth　discussion　of　the　optimization　of　the　MT-MR　automatic　laying　trajectory　with　a　special　configuration　is　presented　and　some　theoretical　guidance　for　the　application　of　this　material　laying　process　is　provided.