WEIGHTED POINT-WISE PREDICTION DYNAMIC MULTIPLE OBJECTIVE OPTIMIZATION BASED ON INFORMATION SHARING STRATEGY
In order to achieve the Pareto optimal solution effectively and improve the robustness to the input error,a weighted point-wise prediction dynamic multiple objective optimization algorithm based on information sharing strategy is proposed.An information sharing strategy was introduced,which allowed each point to make use of the information in its adjacent solutions to improve the robustness of the model.A similarity measure was introduced,and by comparing with some common similarity measures,a weighted point-wise prediction method was proposed,which greatly enhanced the ability to capture various patterns.Experimental results on EC2018 DMO test suite show the effectiveness of the proposed method.
Information sharingRobustnessMultiple objective optimizationWeighted point-wise prediction
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