Reconfigurable Manufacturing Systems
Configuration Selection and Scheduling
Hybrid Flow Shop Scheduling
Controllable Processing Time
Semester: 2024-03-01
Lab Seminars:
1.
[A] Bi-objective optimization of integrating configuration generation and scheduling for reconfigurable flow lines using NSGA-Ⅱ [B] Mixed integer programming models for concurrent configuration design and scheduling in a reconfigurable manufacturing system [C] A multi-objective particle swarm optimisation for integrated configuration design and scheduling in reconfigurable manufacturing system
2025.07.15
2.
Modelling and solving approaches for scheduling problems in reconfigurable manufacturing systems
2025.02.24
3.
An improved multi-objective whale optimization algorithm for the hybrid flow shop scheduling problem considering device dynamic reconfiguration processes
2025.02.10
4.
A new heuristic for integrated process planning and scheduling in reconfigurable manufacturing systems
2025.01.13
5.
Bi-objective Optimization of Integrating Configuration Generation and Scheduling for Reconfigurable Flow Lines Using NSGA-II
2024.08.29
6.
A bi-layer optimization approach for a hybrid flow shop scheduling problem involving controllable processing times in the steelmaking industry
2024.08.12
7.
Independent double DQN-based multi-agent reinforcement learning approach for online two-stage hybrid flow shop scheduling with batch machines
2024.07.22
8.
A novel shuffled frog-leaping algorithm with reinforcement learning for distributed assembly hybrid flow shop scheduling
2024.07.08
9.
Heuristic algorithms for re-entrant hybrid flow shop scheduling with unrelated parallel machines
