Task Resource Planning and Verification Method Based on Intelligent Planning
Haiqing Wang, Peng Sun · 2018
In order to meet the demands of rapid resource scheduling and capability recombination in a rapidly changing environment, real-time and dynamic resource planning and flexible scheduling are carried out in a relatively short time within a wide space. The paper proposes a fast generation method of task system resource guarantee plan based on intelligent planning, allocation mechanism and verification method. In this paper, we use an ontology-based semantic representation model and Hierarchical Task Network (HTN) to get the corresponding sequences of the resource type, breaking through the hierarchical task network planning combined with business process driven technology, to implement the task decomposition and resource guarantee scheme generation technique. Then we use Multidimensional Dynamic List Scheduling (MDLS) resource allocation algorithm to complete screening and the operation of the specific distribution of resources. During the resource allocation, we use conflict resolution algorithm to avoid resource conflict, to ensure resource combination optimization.