To　balance　the　hydraulic　and　anti-clogging　performances　for　labyrinth-channel　emitters,　a　multi-objective　optimization　was　performed　to　improve　the　structure　of　trapezoidal　labyrinth　channels.　Two　variables,　pressure　loss　coefficient　(PLC)　and　passage　rate　of　particles　(PRP),　were　proposed　to　evaluate　the　hydraulic　and　anti-clogging　performances,　respectively.　The　Pareto　fronts　of　PLC　and　PRP　were　calculated　using　the　elitist　non-dominated　sorting　genetic　algorithm　version　II　(NSGA-II).　The　results　show　that　the　optimal　fronts　are　obtained　through　100　generations　evolution.　The　associated　key　parameters　D/W　and　H/D　are　constant,　while　S/H　and　alpha　are　different　for　each　front.　In　addition,　the　approach　to　obtain　a　trade-off　solution　from　these　fronts　was　developed　by　arranging　different　weights　for　the　two　variables.　This　approach　is　very　suitable　for　structural　optimization　of　labyrinth　channels　with　the　same　shape　but　different　dimensions.