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...
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: | Journal Article |
Language: | English |
Published: |
2016
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/82059 http://hdl.handle.net/10220/39758 |
Similar Items
-
A Differential-Based Harmony Search Algorithm With Variable Neighborhood Search for Job Shop Scheduling Problem and Its Runtime Analysis
by: Fuqing Zhao, et al.
Published: (2018-01-01) -
A Hybrid Pareto-Based Tabu Search for the Distributed Flexible Job Shop Scheduling Problem With E/T Criteria
by: Jun-Qiang Li, et al.
Published: (2018-01-01) -
Improved Differential Evolution Algorithm for Flexible Job Shop Scheduling Problems
by: Prasert Sriboonchandr, et al.
Published: (2019-09-01) -
An application of metaheuristic optimization algorithms for solving the flexible job-shop scheduling problem
by: Aleksandar Stanković, et al.
Published: (2020-09-01) -
Job shop scheduling using genetic algorithm /
by: 175743 Ab. Rahman Ahmad, et al.
Published: (2003)