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ORIGINAL RESEARCH article

Front. Energy Res., 19 December 2025

Sec. Smart Grids

Volume 10 - 2022 | https://doi.org/10.3389/fenrg.2022.925053

This article is part of the Research TopicEvolutionary Multi-Objective Optimization Algorithms in Microgrid Power DispatchingView all 16 articles

RETRACTED: A Novel Cooperation Multi-Objective Optimization Approach: Multi-Swarm Multi-Objective Evolutionary Algorithm Based on Decomposition (MSMOEA/D)

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A retraction of this article was approved in:

  1. Retraction: A novel cooperation multi-objective optimization approach: multi-swarm multi-objective evolutionary algorithm based on decomposition (MSMOEA/D)

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  2. Expression of concern: A novel cooperation multi-objective optimization approach: multi-swarm multi-objective evolutionary algorithm based on decomposition (MSMOEA/D)

    1. Read correction
Rui LiuRui Liu1Hanning ChenHanning Chen2Zhixue WangZhixue Wang2Yabao Hu Yabao Hu3*
  • 1College of Mathematics, Jilin Normal University, Siping, China
  • 2School of Computer Science and Technology, Tiangong University, Tianjin, China
  • 3School of Mechanical Engineering, Tiangong University, Tianjin, China

This article has been retracted. Please follow the link to the full Retraction notice for details.

Citation: Liu R, Chen H, Wang Z and Hu Y (2022) A Novel Cooperation Multi-Objective Optimization Approach: Multi-Swarm Multi-Objective Evolutionary Algorithm Based on Decomposition (MSMOEA/D). Front. Energy Res. 10:925053. doi: 10.3389/fenrg.2022.925053

Received: 21 April 2022; Accepted: 04 May 2022;
Published: 24 June 2022; Retracted: 19 December 2025.

Edited by:

Shi Cheng, Shaanxi Normal University, China

Reviewed by:

Ming Wan, Liaoning University, China
Jin Xin, Yanshan University, China
Jianhui Lv, Tsinghua University, China

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