Print Email Facebook Twitter Adapting CBM to optimize the Sum of Costs Title Adapting CBM to optimize the Sum of Costs Author Baauw, Robbin (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Intelligent Systems) Contributor Mulderij, J. (mentor) de Weerdt, M.M. (mentor) Zuniga, Marco (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2021-07-01 Abstract In the Multi-Agent Pathfinding with Matching (MAPFM) problem, agents from a team are matched with and routed towards one of their team's goals without colliding with other agents. The sum of path costs of all agents is minimized. In prior works, Conflict Based Min-Cost-Flow (CBM) has been proposed. This algorithm solves a similar problem that instead minimizes the maximum path length. In this paper, an extension upon CBM is presented, called CBMxSOC. It consists of several changes to CBM that allow it to minimize the sum of path costs. CBMxSOC is experimentally compared to other MAPFM solvers and is shown to be able to scale to many agents when there are few conflicts between different teams. Subject MAPFMatchingCBS To reference this document use: http://resolver.tudelft.nl/uuid:e73165e6-d60b-43cc-8abd-c6046f0ab638 Part of collection Student theses Document type bachelor thesis Rights © 2021 Robbin Baauw Files PDF RobbinBaauw_RP_2021.pdf 501.58 KB Close viewer /islandora/object/uuid:e73165e6-d60b-43cc-8abd-c6046f0ab638/datastream/OBJ/view