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For a multiple-segment flight of passenger aircraft, the primary objective of commodity load planning is to improve the operational efficiency of the whole journey. Unfortunately the objective can not be measured due to the unavailability of down-line stations shipment information. Traditional optimization algorithm can not be directly applied. Rule based optimization approach is proposed in this...
We present an efficient graph based rule execution method which incorporate expert knowledge and statistical knowledge. How to use both the knowledge from expert experiences and the statistical information from business instances to improve the efficiency of rule execution is meaningful. We define a directed acyclic graph to control rule execution where each potential sequential rule execution corresponds...
We present a novel method to learn the priorities of rules for sequential rule execution during the running of a rule engine system. The priority based ordering of rules influences the condition evaluation count of rule execution. User-assigned priorities can not guarantee optimal execution performance. We present and prove that the execution count and the dependency relationship are two factors influencing...
Rule set is used in many rule engines as the rule model structure. Such kind of model is insufficient in describing some operation logic with explicit sequence. This paper aims to categorize the business rules from three dimensions including rule sequence, context object and condition fragility. And the impact of these characteristic to rule model, language and algorithm is discussed. A hybrid rule...
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