A hybrid particle swarm optimization algorithm for single machine scheduling with sequence-dependent setup times and learning effects
This paper deals with the single machine scheduling problem with sequence-dependent setup time and learning effect on processing time, where the objective is to minimize total earliness and tardiness of the jobs. A Mixed Integer Linear Programming (MILP) model capable of solving small-sized problems...
Saved in:
Main Authors: | Payam Chiniforooshan, Dragan Marinkovic |
---|---|
Format: | Article |
Language: | English |
Published: |
REA Press
2023-06-01
|
Series: | Computational Algorithms and Numerical Dimensions |
Subjects: | |
Online Access: | https://www.journal-cand.com/article_190873_eec893008f3b91ab54b6df53f7bcebe2.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimization of Job Scheduling in the Cloud Computing Environment Using the Fuzzy Particle Swarm Optimization Algorithm
by: Shabnam Gharaeian, et al.
Published: (2020-09-01) -
Presenting a model for solving lot-streaming hybrid flow shop scheduling problem by considering independent setup time and transportation time
by: Roja Ruhbakhsh, et al.
Published: (2023-09-01) -
A Hybrid Particle Swarm Optimization-Tuning Algorithm for the Prediction of Nanoparticle Morphology from Microscopic Images
by: Abhishek Singh, et al.
Published: (2023-02-01) -
Modified artificial fish swarm algorithm to solve unrelated parallel machine scheduling problem under fuzzy environment
by: Azhar Mahdi Ibadi, et al.
Published: (2024-12-01) -
Presenting a Prediction Model for CEO Compensation Sensitivity using Meta-heuristic Algorithms (Genetics and Particle Swarm)
by: Saeed Khaljastani, et al.
Published: (2024-09-01)