The　batch　layout　of　various　types　of　parts　in　additive　manufacturing　has　problems　such　as　high　printing　time　cost　and　low　utilization　of　workbench　space,　and　the　impact　of　the　height　of　the　parts　needs　to　be　considered.　The　batch　layout　problem　includes　two　sub-problems,　the　part　placement　strategy　on　the　workbench　and　the　allocation　of　molding　batches.　The　placement　strategies　involve　the　forming　direction　selection,　the　part　collision　detection,　and　the　positioning　strategies.　Based　on　the　established　forming　direction　criterion,　the　polygons　were　used　to　represent　the　projected　contour　of　parts.　Based　on　no-fit　polygon,　an　improved　orbital　sliding　approach　was　proposed　to　determine　the　collision-free　emission　range　of　polygonal　parts　with　three　categories.　A　new　bottom-left　positioning　strategy　to　place　parts　was　proposed,　which　integrated　an　improved　constructive　approach　and　fit　degree.　A　strategy　of　the　used　maximum　area　in　a　worktable　was　proposed　to　achieve　the　part　molding　batch　allocation.　On　the　basis　of　above　research,　a　batch　layout　algorithm　based　on　the　optimal　foraging　algorithm　was　proposed.　The　algorithm　used　the　double　coding　to　express　the　part　placement　order　and　the　rotation　angle,　and　realized　batch　layout　optimization　by　taking　minimum　completion　time　as　the　objective.　The　proposed　algorithm　was　compared　with　three　comparison　algorithms　based　on　some　library　parts,　and　the　results　showed　that　the　proposed　method　could　effectively　improve　the　space　utilization　of　additive　manufacturing　and　shorten　the　completion　time.　©　2024　CIMS.　All　rights　reserved.