Continuous-flow　microfluidic　biochips　need　usually　to　construct　complex　and　interlaced　flow　paths　to　support　the　transportation　of　sample/reagent,　and　also　require　a　large　number　of　flow　ports　to　promote　the　orderly　fluids　flow,　thereby　hinders　the　further　development　of　the　biochips.　Therefore,　the　flow-path　planning　problem　under　strict　constraints　of　flow　ports　is　formulated,　and　a　path-driven　architecture　synthesis　flow　for　continuous-flow　microfluidic　biochips　is　proposed.　Firstly,　the　list　scheduling　algorithm　is　used　to　realize　the　binding　and　scheduling　of　operations.　To　satisfy　the　constraints　of　a　limited　number　of　flow　ports,　a　time　window　can　be　applied　to　adjust　the　final　scheduling　result.　Then,　the　flow-layer　placement　is　obtained　by　genetic　algorithm　based　on　sequence　pair　representation,　and　the　quality　of　the　layout　solution　is　further　optimized　by　considering　the　conflicts　between　parallel　tasks　and　the　connections　between　components.　Finally,　an　A*-based　routing　method　is　used　to　complete　flow-path　planning　for　reducing　effectively　the　total　flow-channel　length　and　the　number　of　intersections,　thereby　generating　a　biochip　layout　with　high　execution　efficiency.　The　experimental　results　show　that　the　proposed　method　greatly　avoids　the　conflicts　of　various　fluid　transportation　tasks　under　the　condition　of　satisfying　the　given　flow　port　constraints　strictly,　and　optimizes　the　total　length　of　flow　channels　and　the　number　of　intersections,　thereby　reducing　the　manufacturing　cost　of　the　chip.　©　2023　Science　Press.　All　rights　reserved.