Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A Q-learning memetic algorithm for energy-efficient heterogeneous distributed assembly permutation flowshop scheduling considering priorities
Cong Luo, Wenyin Gong, Fei Ming, et al.
Swarm and Evolutionary Computation (2024) Vol. 85, pp. 101497-101497
Closed Access | Times Cited: 19

Showing 19 citing articles:

Reinforcement learning for distributed hybrid flowshop scheduling problem with variable task splitting towards mass personalized manufacturing
Xin Chen, Yibing Li, Kaipu Wang, et al.
Journal of Manufacturing Systems (2024) Vol. 76, pp. 188-206
Closed Access | Times Cited: 6
A reinforcement learning-driven adaptive decomposition algorithm for multi-objective hybrid seru system scheduling considering worker transfer
Yuting Wu, Ling Wang, Rui Li, et al.
Swarm and Evolutionary Computation (2024) Vol. 88, pp. 101602-101602
Closed Access | Times Cited: 5
A bi-objective evolutionary algorithm for distributed production scheduling with eligibility restrictions
Chaoming Hu, Teng Zhang, Yao Gao, et al.
Applied Soft Computing (2025), pp. 112738-112738
Closed Access
Self-optimized learning algorithm for multi-specialty multi-stage elective surgery scheduling
Y Liu, Y. P. Huang, Zongli Dai, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110346-110346
Closed Access
Integrated heterogeneous graph and reinforcement learning enabled efficient scheduling for surface mount technology workshop
Biao Zhang, Hongyan Sang, Chao Lu, et al.
Information Sciences (2025), pp. 122023-122023
Closed Access
Collaborative assembly factory in the distributed permutation flow-shop scheduling problem considering flexible assembly and fuzzy processing time
Long Cheng, Lei Wang, Jingcao Cai, et al.
Engineering Optimization (2025), pp. 1-32
Closed Access
A knowledge-driven memetic algorithm for the energy-efficient distributed homogeneous flow shop scheduling problem
Yunbao Xu, Xiangqian Jiang, Jun Li, et al.
Swarm and Evolutionary Computation (2024) Vol. 89, pp. 101625-101625
Open Access | Times Cited: 3
Energy-efficient Multi-objective Distributed Assembly Permutation Flowshop Scheduling by Q-learning based Meta-heuristics
Hui Yu, Kaizhou Gao, Zhiwu Li, et al.
Applied Soft Computing (2024), pp. 112247-112247
Closed Access | Times Cited: 3
A dynamic decision-driven memetic algorithm for fuzzy distributed hybrid flow shop rescheduling considering quality control
Libao Deng, Yixuan Qiu, Wenyin Gong, et al.
Expert Systems with Applications (2024) Vol. 257, pp. 125002-125002
Closed Access | Times Cited: 2
A Q-learning-based multi-population algorithm for multi-objective distributed heterogeneous assembly no-idle flowshop scheduling with batch delivery
Zikai Zhang, Qiuhua Tang, Liping Zhang, et al.
Expert Systems with Applications (2024) Vol. 263, pp. 125690-125690
Closed Access | Times Cited: 2
A hybrid genetic programming algorithm for the distributed assembly scheduling problems with transportation and sequence-dependent setup times
Jiawen Deng, Jihui Zhang, Shengxiang Yang
Engineering Optimization (2024), pp. 1-27
Closed Access | Times Cited: 1
A learning-based memetic algorithm for a cooperative task allocation problem of multiple unmanned aerial vehicles in smart agriculture
Teng-Yu Chen, Zhonghua Miao, Weimin Li, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101694-101694
Closed Access | Times Cited: 1
A novel deep reinforcement learning‐based algorithm for multi‐objective energy‐efficient flow‐shop scheduling
Liang Peng, Pengfei Xiao, Zeya Li, et al.
IET Collaborative Intelligent Manufacturing (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 1
An effective two-stage memetic algorithm for the dynamic flexible job-shop scheduling problem with job inspection
Ningtao Peng, Kaikai Zhu, Jiuqiang Tang, et al.
Engineering Optimization (2024), pp. 1-40
Closed Access | Times Cited: 1
Hybrid Grey-Wolf Algorithm approach for Solving energy efficient permutation flowshop scheduling problem with Setup Times
Vigneshwar Pesaru, Venkataramanaiah Saddikuti, Mukund Nilakantan Janardhanan
Procedia Computer Science (2024) Vol. 241, pp. 352-359
Open Access
A Multi-Customer Vehicle Scheduling Optimization Method for Coal Intelligent Loading System
Yunrui Wang, Rui Li, Haoning Wang, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8178-8178
Open Access
Multi-objective grey wolf optimizer based on reinforcement learning for distributed hybrid flowshop scheduling towards mass personalized manufacturing
Xin Chen, Yibing Li, Lei Wang, et al.
Expert Systems with Applications (2024) Vol. 264, pp. 125866-125866
Closed Access
A Reinforcement Learning-Driven Adaptive Decomposition Algorithm for Multi-Objective Hybrid Seru System Scheduling Considering Worker Transfer
Yuting Wu, Ling Wang, Rui Li, et al.
(2024)
Closed Access
A Self-adaptive two stage iterative greedy algorithm based job scales for energy-efficient distributed permutation flowshop scheduling problem
Yang Yu, Quan Zhong, Liangliang Sun, et al.
Swarm and Evolutionary Computation (2024) Vol. 92, pp. 101777-101777
Closed Access
Page 1

Scroll to top