Kaizhou Gao

发表的论文28 篇，按出版时间

1. 1
   PPO-assisted artificial bee colony algorithm for scheduling multi-objective distributed heterogeneous assembly flow shops with human–machine collaboration and batch deliveryExpert Systems with Applications20270
2. 2
   A multi-agent reinforcement learning approach for dynamic supply-demand matching under time variant supply chain topologyComputers & Industrial Engineering20260
3. 3
   A twin-reinforced evolutionary algorithm for flexible job shop scheduling problem under time-of-use tariffsComputers & Industrial Engineering20254
4. 4
   Online reinforcement learning strategies driven artificial bee colony algorithm for bi-objective distributed reentrant flowshops scheduling problem with sequence-sependent setup timeExpert Systems with Applications20258
5. 5
   A cooperative agent deep reinforcement learning framework for solving flexible job shop scheduling problem with automated guided vehiclesExpert Systems with Applications202516
6. 6
   Integrated distributed flexible job shop scheduling and vehicle routing problem via Q-learning-based evolutionary algorithmsInformation Sciences202517
7. 7
   A Q-learning-driven genetic algorithm for the distributed hybrid flow shop group scheduling problem with delivery time windowsInformation Sciences202517
8. 8
   A rapid population-based iterated greedy for distributed blocking group flowshop scheduling with delivery time windows under multiple processing time scenariosComputers & Industrial Engineering20256
9. 9
   Enhancing distributed blocking flowshop group scheduling: Theoretical insight and application of an iterated greedy algorithm with idle time insertion and rapid evaluation mechanismsExpert Systems with Applications202510
10. 10
    An accelerated discrete artificial bee colony algorithm under the makespan constraint: Solving the distributed blocking flow shop scheduling problem with balanced energy consumption costsExpert Systems with Applications202418