A parallel social spider algorithm based on population mining DOI
Zhibin Huang, Yi‐Ming Chen,

Tian-Liang Huang

et al.

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 166, P. 112136 - 112136

Published: Aug. 24, 2024

Language: Английский

Red-billed blue magpie optimizer: a novel metaheuristic algorithm for 2D/3D UAV path planning and engineering design problems DOI Creative Commons
Shengwei Fu, Ke Li, Haisong Huang

et al.

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(6)

Published: May 3, 2024

Abstract Numerical optimization, Unmanned Aerial Vehicle (UAV) path planning, and engineering design problems are fundamental to the development of artificial intelligence. Traditional methods show limitations in dealing with these complex nonlinear models. To address challenges, swarm intelligence algorithm is introduced as a metaheuristic method effectively implemented. However, existing technology exhibits drawbacks such slow convergence speed, low precision, poor robustness. In this paper, we propose novel approach called Red-billed Blue Magpie Optimizer (RBMO), inspired by cooperative efficient predation behaviors red-billed blue magpies. The mathematical model RBMO was established simulating searching, chasing, attacking prey, food storage magpie. demonstrate RBMO’s performance, first conduct qualitative analyses through behavior experiments. Next, numerical optimization capabilities substantiated using CEC2014 (Dim = 10, 30, 50, 100) CEC2017 suites, consistently achieving best Friedman mean rank. UAV planning applications (two-dimensional three − dimensional), obtains preferable solutions, demonstrating its effectiveness solving NP-hard problems. Additionally, five problems, yields minimum cost, showcasing advantage practical problem-solving. We compare our experimental results categories widely recognized algorithms: (1) advanced variants, (2) recently proposed algorithms, (3) high-performance optimizers, including CEC winners.

Language: Английский

Citations

60
Multi-product disassembly line balancing optimization method for high disassembly profit and low energy consumption with noise pollution constraints DOI
Pei Liang, Yaping Fu, Kaizhou Gao

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 130, P. 107721 - 107721

Published: Jan. 5, 2024

Language: Английский

Citations

29
Human-robot cooperation two-sided partial disassembly line balancing problem DOI

Mengling Chu,

Weida Chen

International Journal of Production Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 26

Published: Jan. 13, 2025

Considering the complexities, risks, and uncertainties of disassembling large end-of-life (EOL) products such as cars buses, a two-sided human-robot disassembly line can utilise both sides workstations to enhance efficiency, improve safety, increase revenue. This paper develops cooperation partial balancing model (TPDLB-HRC) minimise energy consumption maximise net revenue by addressing four interrelated sub-problems: planning sequences, selecting tasks, assigning tasks mated-stations, allocating resources. In addition, new reinforcement-learning multi-objective evolutionary algorithm based on decomposition (NRL-MOEA/D) is developed, integrating an encoding/decoding scheme, reinforcement learning, problem characteristics, coevolution between sub-problems address above challenges. The effectiveness superiority designed NRL-MOEA/D in solving various cases are tested comparing it with eleven algorithms. Finally, applicability proposed method verified series EOL examples, trade-offs made under different recycling profits guide decision-makers constructing schemes real situations.

Language: Английский

Citations

3
Techno-economic and environmental benefits-oriented human–robot collaborative disassembly line balancing optimization in remanufacturing DOI
Tengfei Wu, Zeqiang Zhang, Yanqing Zeng

et al.

Robotics and Computer-Integrated Manufacturing, Journal Year: 2023, Volume and Issue: 86, P. 102650 - 102650

Published: Sept. 18, 2023

Language: Английский

Citations

38
Advances in partial disassembly line balancing: A state-of-the-art review DOI

Elif Güler,

Can B. Kalaycı, Mehmet Ali Ilgın

et al.

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: 188, P. 109898 - 109898

Published: Jan. 21, 2024

Language: Английский

Citations

16
Ensemble artificial bee colony algorithm with Q-learning for scheduling Bi-objective disassembly line DOI
Yaxian Ren, Kaizhou Gao, Yaping Fu

et al.

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 155, P. 111415 - 111415

Published: Feb. 22, 2024

Language: Английский

Citations

12
A grey wolf optimization algorithm for solving partial destructive disassembly line balancing problem consider feasibility evaluation and noise pollution DOI
Lei Guo, Zeqiang Zhang, Tengfei Wu

et al.

Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 60, P. 102418 - 102418

Published: Feb. 24, 2024

Language: Английский

Citations

10
Multi-man–robot collaborative disassembly line balancing optimization via mixed-integer programming and genetic Jaya algorithm DOI

Tao Yin,

Jiapeng Wu,

Jungang Cao

et al.

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144695 - 144695

Published: Jan. 1, 2025

Language: Английский

Citations

1
Line balancing for energy efficiency in production: A qualitative and quantitative literature analysis DOI Creative Commons
Julian Petersen, Amir Nourmohammadi, Masood Fathi

et al.

Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 111144 - 111144

Published: April 1, 2025

Language: Английский

Citations

1
Modelling and optimisation of energy consumption and profit-oriented multi-parallel partial disassembly line balancing problem DOI
Wei Liang, Zeqiang Zhang,

Tao Yin

et al.

International Journal of Production Economics, Journal Year: 2023, Volume and Issue: 262, P. 108928 - 108928

Published: May 20, 2023

Language: Английский

Citations

22