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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Bibliographic Details
Published in:	IEEE transactions on computational social systems Vol. 11; no. 2; pp. 2494 - 2512
Main Authors:	Li, Han, Wang, Zidong, Lan, Chengbo, Wu, Peishu, Zeng, Nianyin
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.04.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
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