Abstract
We study the partitioning of temporal planning problems formulated as mixed-integer nonlinear programming problems, develop methods to reduce the search space of partitioned subproblems, and propose algorithms for resolving unsatisfied global constraints. The algorithms are based on the necessary and sufficient extended saddle-point condition for constrained local minimization developed in this paper. When compared with the MIPS planner in solving some PDDL2.1 planning problems, our distributed implementation of MIPS shows significant improvements in time and quality.
| Original language | English |
|---|---|
| Pages (from-to) | 266-273 |
| Number of pages | 8 |
| Journal | Proceedings of the International Conference on Tools with Artificial Intelligence |
| State | Published - 2003 |
| Event | Proceedings: 15th IEEE International Conference on Tools with artificial Intelligence - Sacramento, CA, United States Duration: Nov 3 2003 → Nov 5 2003 |
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