A　new　mechanism，namely　a　combination　of　curve　matching　method　based　on　the　discrete　Fréchet　distance　and　evolutionary　algorithms，is　proposed　to　solve　pick-and-place　sequence　optimisation　problems　as　a　multi-objective　optimisation　problem.　The　essence　of　the　mechanism　is　to　accomplish　the　comparison　of　objective　vectors　with　curve　matching　method.　The　objective　vector　is　mapped　into　the　array　of　points　with　a　binary　mapping　operator　and　the　discrete　Fréchet　distance　is　utilised　to　measure　the　similarity　between　the　reference　array　of　points　and　the　comparison　array　of　points.　The　genetic　algorithm　based　on　the　discrete　Fréchet　distance　(FGA)　is　proposed.　To　test　the　new　mechanism,　together　with　FGA,　three　other　test　algorithms　are　selected　to　solve　the　sequence　optimisation　problem.　The　simulation　results　indicate　that　FGA　outperforms　other　algorithms.　This　new　mechanism　is　rational　and　feasible　for　multi-objective　pick-and-place　sequence　optimisation　problems.　©　2018,　©　2018　Informa　UK　Limited,　trading　as　Taylor　&　Francis　Group.