Path planning of unmanned ship emergency management
To solve the complex path planning problem in multi-objective emergency of unmanned ship,an ant colony algorithm based on case-based reasoning is proposed.The feature properties of the historical ca-ses of unmanned ship emergency management are extracted to build the case-based reasoning knowledge base.The symbolic data in case are transformed into numerical data by mapping rules,which is convenient for reasoning and calculation.The ant colony algorithm is improved and the event distance is added to the heuristic function.The situation of targets is analyzed by case-based reasoning.The improved ant colony al-gorithm on case-based reasoning is used to plan the path of multi-objective emergency.The experiment re-sults show that the proposed algorithm is more effective.Emergencies are given priority,improving the effi-ciency.
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