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There are many dynamic multi-objective optimization problems (DMOPs) in real-life engineering applications whose objectives change over time. After an environmental change occurs, prediction strategies are commonly used in dynamic multi-objective optimization algorithms to find the new Pareto optimal set (POS). Being able to make more accurate prediction means the algorithm requires fewer computational...
The NSGA-II method has been shown highly effective to provide sufficient selection pressure searching towards Pareto optimal set in multi-objective optimization. However, an important drawback in NSGA-II is that the diversity of resulting populations is not satisfactory due to the shortcoming of crowding distance. In this paper, we propose a diversity maintenance strategy for NSGA-II to enhance diversity...
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