Joint scheduling of hybrid flow-shop with limited automatic guided vehicles: A hierarchical learning-based swarm optimizer DOI
Shengwei Xing, Zhongshi Shao, Weishi Shao

и другие.

Computers & Industrial Engineering, Год журнала: 2024, Номер 198, С. 110686 - 110686

Опубликована: Ноя. 5, 2024

Язык: Английский

New heterogeneous comprehensive learning particle swarm optimizer enhanced with low-discrepancy sequences and conjugate gradient method DOI

Yuelin Zhao,

Feng Wu, Jianhua Pang

и другие.

Swarm and Evolutionary Computation, Год журнала: 2025, Номер 93, С. 101848 - 101848

Опубликована: Янв. 28, 2025

Язык: Английский

Процитировано

0

Multi-objective Particle Swarm Optimization Algorithm for Task Allocation and Archived Guided Mutation Strategies DOI

Jianjie Chen,

Yanmin Liu, Yi Luo

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Апрель 10, 2025

Abstract In this paper, we propose a novel multi-objective particle swarm optimization algorithm with task allocation and archive-guided mutation strategy (TAMOPSO), which effectively solves the problem of inefficient search in traditional algorithms by assigning different evolutionary tasks to particles characteristics. First, TAMOPSO divides multiple subpopulations according distribution status each iteration population designs new mechanism improve efficiency. Second, adopts an adaptive Lévy flight growth rate, automatically increasing global variation probability expand range when converges enhancing local conduct fine disperses realize dynamics variations. Finally, measures contribution through evolution rate index filters out valuable historical solutions for subsequent reuse accelerate convergence speed; addition, improves individual optimal selection mechanism, changes bias algorithm, ensures that has equal opportunity, enhances fairness process. The process is enhanced at same time. performance compared ten existing on 22 standard test problems, experimental results show outperforms other several problems better solving problems.

Язык: Английский

Процитировано

0

Optimization of the shotcrete spraying process in blast-based tunnel construction: Insights for enhancing spraying quality DOI
Fenghua Liu,

Jiajing Liu,

Botao Zhong

и другие.

Automation in Construction, Год журнала: 2025, Номер 175, С. 106234 - 106234

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

Multi-objective particle swarm optimization algorithm for task allocation and archived guided mutation strategies DOI Creative Commons

Jianjie Chen,

Yanmin Liu, Yi Luo

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Май 6, 2025

Язык: Английский

Процитировано

0

A user green-friendly use of electricity credit points response mechanism for guiding source–load interactions DOI
Chunxiao Li,

Jian Yue,

Weijun Wang

и другие.

Energy Sources Part A Recovery Utilization and Environmental Effects, Год журнала: 2025, Номер 47(1), С. 19 - 43

Опубликована: Май 14, 2025

Язык: Английский

Процитировано

0

Civil aircraft longitudinal center-of-gravity position estimation combining domain knowledge and simulation data DOI Creative Commons
Shaobo Zhai, Guangwen Li,

Xinyang Du

и другие.

Results in Engineering, Год журнала: 2025, Номер unknown, С. 105594 - 105594

Опубликована: Июнь 1, 2025

Язык: Английский

Процитировано

0

IPFOA-MKSVM and BA-MLP Models for Predicting Closed Busbar Temperatures in High Voltage Nuclear Power Plants in Different Vacuum Environments DOI Creative Commons
Zuoxun Wang,

Guojian Zhao,

Jinxue Sui

и другие.

Vacuum, Год журнала: 2024, Номер 232, С. 113825 - 113825

Опубликована: Ноя. 15, 2024

Язык: Английский

Процитировано

2

Supercritical/dense-phase CO2 pipeline leakage diffusion experiment and hazard distance prediction method DOI Creative Commons
Yifei Wang, Qihui Hu, Xuefeng Zhao

и другие.

Journal of Pipeline Science and Engineering, Год журнала: 2024, Номер unknown, С. 100248 - 100248

Опубликована: Дек. 1, 2024

Процитировано

2

Joint scheduling of hybrid flow-shop with limited automatic guided vehicles: A hierarchical learning-based swarm optimizer DOI
Shengwei Xing, Zhongshi Shao, Weishi Shao

и другие.

Computers & Industrial Engineering, Год журнала: 2024, Номер 198, С. 110686 - 110686

Опубликована: Ноя. 5, 2024

Язык: Английский

Процитировано

0