This paper describes Operator Distribution Method for parallel Planning (ODMP)m a parallelization method for efficient heuristic planning. The mehtod inno- vates in that it parallelizes the application of the available operators to the current state and the evaluation of the successor states using the heuristic function. In order to achieve better load balancing and a lift in the scalability of the algorithm, the operator set is initially enlarged, by grounding the first argument of each operator.
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