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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Vydané v:	IEEE access Ročník 13; s. 24765 - 24792
Hlavní autori:	Li, Sanyi, Hou, Wenjie, Liu, Peng, Yue, Weichao, Wang, Qian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Artificial neural networks Classification algorithms Convergence decision variable classification Diversity reception Dynamic multi-objective optimization Evolutionary algorithms Heuristic algorithms irregular environment Machine learning algorithms Multiple objective analysis neural network Neural networks Optical fibers Optimization Optimization algorithms Pareto optimization prediction Prediction algorithms Random variables special point Vectors
ISSN:	2169-3536, 2169-3536
On-line prístup:	Získať plný text
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