The Scanalyzer Domain: Greenhouse Logistics as a Planning Problem
DOI:
https://doi.org/10.1609/icaps.v20i1.13431Keywords:
greenhouse logistics, application, benchmark, permutation puzzle, classical planningAbstract
We introduce the Scanalyzer planning domain, a domain for classical planning which models the problem of automatic greenhouse logistic management. At its mathematical core, the Scanalyzer domain is a permutation problem with striking similarities to common search benchmarks such as Rubik's Cube or TopSpin. At the same time, it is also a real application domain, and efficient algorithms for the problem are of considerable practical interest. The Scanalyzer domain was used as a benchmark for sequential planners at the last International Planning Competition. The competition results show that domain-independent automated planners can find solutions of comparable quality to those generated by specialized algorithms developed by domain experts, while being considerably more flexible.