Pareto-based grouping discrete harmony search algorithm for multi-objective flexible job shop scheduling
This paper proposes a Pareto-based grouping discrete harmony search algorithm (PGDHS) to solve the multi-objective flexible job shop scheduling problem (FJSP). Two objectives, namely the maximum completion time (makespan) and the mean of earliness and tardiness, are considered simultaneously. Firstl...
Saved in:
Main Authors: | Gao, Kai Zhou, Suganthan, P. N., Pan, Q. K., Chua, Tay Jin, Cai, T. J., Chong, C. S. |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2016
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/82059 http://hdl.handle.net/10220/39758 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
A MILP model for flexible job shop scheduling problem considering low flexibility
by: Liu, Minzheng
Published: (2024) -
An application of tabu search algorithm on cost-based job shop problem with multiple objectives
by: Zhu, Z.C., et al.
Published: (2014) -
Deep reinforcement learning for dynamic scheduling of a flexible job shop
by: Liu, Renke, et al.
Published: (2022) -
Clonal Selection Based Memetic Algorithm for Job Shop Scheduling Problems
by: Yang, J.-h., et al.
Published: (2014) -
Optimization of Hydropower Storage Projects Using Harmony Search Algorithm
by: Kim, Joong Hoon, et al.
Published: (2017)