Smart Ports by Weijian Mi & Yuan Liu

Author:Weijian Mi & Yuan Liu
Language: eng
Format: epub
ISBN: 9789811698897
Publisher: Springer Singapore

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The required solution space is too large, the convergence efficiency is low, the solution time is too long, and it is difficult to get a satisfactory solution.

Therefore, an efficient method to organize decision-making rules is needed, and the search space can be reduced by pruning to improve the efficiency and effect of solution.

The scheduling method is designed based on workflow engine to effectively deal with the correlation between operation process and solution flow. In the solution process, according to the features of the current solution node, through the workflow engine's historical data analysis and process analysis, the corresponding working conditions are matched, the constraint set of the current node is obtained, the current sub-search node is generated, and the required solution strategy is identified. If there is no working condition matching in the historical database, it means that the current node is a new working condition. Meanwhile, the workflow engine obtains the corresponding solution strategy based on the analysis of the features of the new condition and the operation process. After the extraction of solving strategies is completed, the knowledge stack is reconstructed according to the priority of strategies to form a strategy set for the current node and search for each child node.

After the solution is completed, the strategy and pruning effect are analyzed in reverse according to the optimal path finally selected for the constructed solution tree. By calculating the difference between the actual expected value and the actual value of the sub-nodes in each solving step, the residuals are learned, the corresponding parameters of the strategy network are corrected, and the revised knowledge is explained through workflow analysis. Then the condition features and strategy features of the newly added conditions in the solution process are updated, so that the next time when the same condition is encountered, it can be solved by matching features directly. Operation process of workflow engine is shown in Fig. 6.6.

Fig. 6.6Operation process of workflow engine

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