A Novel Dynamic Multiobjective Optimization Algorithm With Hierarchical Response System

In this article, a novel dynamic multiobjective optimization algorithm (DMOA) is proposed based on a designed hierarchical response system (HRS). Named HRS-DMOA, the proposed algorithm mainly aims at integrating merits from the mainstream ideas of dynamic behavior handling (i.e., the diversity-, mem...

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Veröffentlicht in:	IEEE transactions on computational social systems Jg. 11; H. 2; S. 2494 - 2512
Hauptverfasser:	Li, Han, Wang, Zidong, Lan, Chengbo, Wu, Peishu, Zeng, Nianyin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.04.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Ablation Algorithms Behavioral sciences Convergence Dynamic multiobjective optimization algorithm (DMOA) evolutionary algorithm Heuristic algorithms hierarchical response system (HRS) Multiple objective analysis Optimization Optimization algorithms Pareto optimization Prediction algorithms Social factors Statistics transfer learning (TL)
ISSN:	2329-924X, 2373-7476
Online-Zugang:	Volltext
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