Search Results - "Pan, Quanke"

Deep multi-agent reinforcement learning for dynamic energy-efficient cascaded dual-shop collaborative scheduling with mating operation.

Authors: Bao, Haizhu Pan, Quanke Chew, Chee-Meng et al.

Source: SCIENCE CHINA Information Sciences. Jul2026, Vol. 69 Issue 7, p1-24. 24p.

A deep reinforcement learning-guided memetic algorithm for multi-objective collaborative scheduling of agricultural weeding robot fleets.

Authors: Zhang, Hui Pan, Quanke Miao, Zhonghua et al.

Source: Computers & Electronics in Agriculture. Aug2026, Vol. 250, pN.PAG-N.PAG. 1p.

Subjects: Scheduling, Multi-objective optimization, Metaheuristic algorithms, Precision farming, Markov processes, Reinforcement learning, Agricultural robots

Scenario-to-objective transformation for robust cascaded flow-shop joint scheduling: a many-objective optimization framework.

Authors: Li, Qiuying Pan, Quanke Gao, Liang et al.

Source: Expert Systems with Applications. Apr2026, Vol. 304, pN.PAG-N.PAG. 1p.

Subjects: Multi-objective optimization, Flow shop scheduling, Constraint satisfaction, Scheduling, Genetic algorithms, Evolutionary algorithms, Mathematical optimization

A knowledge region selection enhanced quality-diversity algorithm for real-world flexible job shop scheduling with Automated Guided Vehicles transportation.

Authors: Qin, Haoxiang Xiang, Yi Han, Yuyan et al.

Source: Engineering Applications of Artificial Intelligence; Jan2026:Part B, Vol. 164, pN.PAG-N.PAG, 1p

Cross-domain battery SOH and RUL estimation via Domain-Adaptive Transformer.

Authors: Zhu, Bo Jia, Li Pan, Quanke et al.

Source: Energy; Dec2025, Vol. 341, pN.PAG-N.PAG, 1p

A bi-cooperative parallel evolutionary algorithm for co-scheduling of distributed production and distribution considering shared transportation resources.

Authors: Liu, Zijiang Sang, Hongyan Pan, Quanke et al.

Source: Computers & Operations Research; Nov2025, Vol. 183, pN.PAG-N.PAG, 1p

Effective heuristics for the no-wait flow shop scheduling problem with total flow time minimization.

Authors: Gao, Kaizhou Pan, Quanke Suganthan, P. et al.

Source: International Journal of Advanced Manufacturing Technology. Jun2013, Vol. 66 Issue 9-12, p1563-1572. 10p. 8 Charts, 2 Graphs.

Effective Hot Rolling Batch Scheduling Algorithms in Compact Strip Production.

Authors: Chen, Qingda Pan, Quanke Zhang, Biao et al.

Source: IEEE Transactions on Automation Science & Engineering. Oct2019, Vol. 16 Issue 4, p1933-1951. 19p.

Subjects: Bees algorithm, Hot rolling, Batch processing, Metaheuristic algorithms, Evolutionary algorithms, Bee colonies, Computer scheduling

Integrated distributed flexible job shop scheduling and vehicle routing problem via Q-learning-based evolutionary algorithms.

Authors: Fu, Yaping Zhang, Zhengpei Gao, Kaizhou et al.

Source: Information Sciences; Sep2025, Vol. 713, pN.PAG-N.PAG, 1p

Heterogeneous network for Hierarchical Fine-Grained Domain Fake News Detection.

Authors: Wang, Yue Yuan, Shizhong Li, Weimin et al.

Source: Information Processing & Management; Jul2025, Vol. 62 Issue 4, pN.PAG-N.PAG, 1p

Enhancing battery SOC estimation with BTGE: A novel synergy of filtering, Transformer, and ELM.

Authors: Zhu, Bo Jia, Li Pan, Quanke et al.

Source: Expert Systems with Applications; Jun2025, Vol. 277, pN.PAG-N.PAG, 1p

An Effective Hybrid Genetic Algorithm and Variable Neighborhood Search for Integrated Process Planning and Scheduling in a Packaging Machine Workshop.

Authors: Li, Xinyu Gao, Liang Pan, Quanke et al.

Source: IEEE Transactions on Systems, Man & Cybernetics. Systems; Oct2019, Vol. 49 Issue 10, p1933-1945, 13p

A multi-objective cellular grey wolf optimizer for hybrid flowshop scheduling problem considering noise pollution.

Authors: Lu, Chao Gao, Liang Pan, Quanke et al.

Source: Applied Soft Computing; Feb2019, Vol. 75, p728-749, 22p

Queuing search algorithm: A novel metaheuristic algorithm for solving engineering optimization problems.

Authors: Zhang, Jinhao Xiao, Mi Gao, Liang et al.

Source: Applied Mathematical Modelling; Nov2018, Vol. 63, p464-490, 27p

A Heuristic-Based Adaptive Iterated Greedy Algorithm for Lot-Streaming Hybrid Flow Shop Scheduling Problem with Consistent and Intermingled Sub-Lots.

Authors: Lu, Yiling Tang, Qiuhua Pan, Quanke et al.

Source: Sensors (14248220). Mar2023, Vol. 23 Issue 5, p2808. 21p.

A learning-driven multi-objective cooperative artificial bee colony algorithm for distributed flexible job shop scheduling problems with preventive maintenance and transportation operations.

Authors: Zhang, Zhengpei Fu, Yaping Gao, Kaizhou et al.

Source: Computers & Industrial Engineering; Oct2024, Vol. 196, pN.PAG-N.PAG, 1p

Three-way decision based island harmony search algorithm for robust flow-shop scheduling with uncertain processing times depicted by big data.

Authors: Wang, Bing Zhang, Pengfei Wang, Xiaozhi et al.

Source: Applied Soft Computing; Sep2024, Vol. 162, pN.PAG-N.PAG, 1p

Discrete harmony search algorithm for scheduling and rescheduling the reprocessing problems in remanufacturing: a case study.

Authors: Gao, Kaizhou Wang, Ling Luo, Jianping et al.

Source: Engineering Optimization; Jun2018, Vol. 50 Issue 6, p965-981, 17p

Free-form surface parts quality inspection optimization with a novel sampling method.

Authors: Li, Taifeng Gao, Liang Pan, Quanke et al.

Source: Applied Soft Computing; Jan2018, Vol. 62, p550-570, 21p

A hybrid local-search algorithm for robust job-shop scheduling under scenarios.

Authors: Wang, Bing Lan, Fengming Pan, Quanke et al.

Source: Applied Soft Computing; Jan2018, Vol. 62, p259-271, 13p