Papers › Coordinated Motion Planning Through Randomized k-Opt
Coordinated Motion Planning Through Randomized k-Opt
Paul Liu, Jack Spalding-Jamieson, Brandon Zhang, Da Wei Zheng
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This paper examines the approach taken by team gitastrophe in the CG:SHOP 2021 challenge. The challenge was to find a sequence of simultaneous moves of square robots between two given configurations that minimized either total distance travelled or makespan (total time). Our winning approach has two main components: an initialization phase that finds a good initial solution, and a k-opt local search phase which optimizes this solution. This led to a first place finish in the distance category and a third place finish in the makespan category.
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