A Special Points and Neural Network-Based Dynamic Multi-Objective Optimization Algorithm

A Special Points and Neural Network-Based Dynamic Multi-Objective Optimization Algorithm

This paper introduces a special points and neural network- based dynamic multi-objective optimization algorithm (SPNN-DMOA) for solving dynamic multi-objective optimization problems (DMOPs) with an irregularly changing pareto set. In the stage of population initialization, the algorithm employs a fe...

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Bibliographic Details
Main Authors: Sanyi Li, Wenjie Hou, Peng Liu, Weichao Yue, Qian Wang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Dynamic multi-objective optimization
decision variable classification
irregular environment
neural network
prediction
special point
Online Access:https://ieeexplore.ieee.org/document/10870232/
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