A coevolution genetic programming method to evolve scheduling policies for dynamic multi-objective job shop scheduling problems
10.1109/CEC.2012.6252968
Saved in:
Main Authors: | Nguyen, S., Zhang, M., Johnston, M., Tan, K.C. |
---|---|
Other Authors: | ELECTRICAL & COMPUTER ENGINEERING |
Format: | Conference or Workshop Item |
Published: |
2014
|
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/68733 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Dynamic multi-objective job shop scheduling: A genetic programming approach
by: Nguyen, S., et al.
Published: (2014) -
A computational study of representations in genetic programming to evolve dispatching rules for the job shop scheduling problem
by: Nguyen, S., et al.
Published: (2014) -
Evolving reusable operation-based due-date assignment models for job shop scheduling with genetic programming
by: Nguyen, S., et al.
Published: (2014) -
Learning iterative dispatching rules for job shop scheduling with genetic programming
by: Nguyen, S., et al.
Published: (2014) -
Dual-objective Job Shop Scheduling Problem with Skilled Workers
by: C. Sem, et al.
Published: (2022)