A new vision of approximate methods for the permutation flowshop to minimise makespan: State-of-the-art and computational evaluation
The permutation flowshop problem is a classic machine scheduling problem where n jobs
must be processed on a set of m machines disposed in series and where each job must visit …
must be processed on a set of m machines disposed in series and where each job must visit …
Fuzzy mathematical programming and self-adaptive artificial fish swarm algorithm for just-in-time energy-aware flow shop scheduling problem with outsourcing option
Flow shop scheduling (FSS) problem constitutes a major part of production planning in
every manufacturing organization. It aims at determining the optimal sequence of processing …
every manufacturing organization. It aims at determining the optimal sequence of processing …
A hyper-heuristic scheduling algorithm for cloud
CW Tsai, WC Huang, MH Chiang… - … on Cloud Computing, 2014 - ieeexplore.ieee.org
Rule-based scheduling algorithms have been widely used on many cloud computing
systems because they are simple and easy to implement. However, there is plenty of room to …
systems because they are simple and easy to implement. However, there is plenty of room to …
Designing a closed-loop supply chain network for citrus fruits crates considering environmental and economic issues
Y Liao, M Kaviyani-Charati… - Journal of Manufacturing …, 2020 - Elsevier
Most cities, notably major and agricultural ones, are faced with environmental and waste
problems. Distribution and collection of agricultural crops can be challenging duties as world …
problems. Distribution and collection of agricultural crops can be challenging duties as world …
Reverse logistics network design using simulated annealing
Reverse logistics is becoming more important in overall industry area because of the
environmental and business factors. Planning and implementing a suitable reverse logistics …
environmental and business factors. Planning and implementing a suitable reverse logistics …
Hybrid discrete particle swarm optimization for multi-objective flexible job-shop scheduling problem
X Shao, W Liu, Q Liu, C Zhang - The International Journal of Advanced …, 2013 - Springer
Flexible job-shop problem has been widely addressed in literature. Due to its complexity, it
is still under consideration for research. This paper addresses flexible job-shop scheduling …
is still under consideration for research. This paper addresses flexible job-shop scheduling …
An effective hybrid teaching–learning-based optimization algorithm for permutation flow shop scheduling problem
Z Xie, C Zhang, X Shao, W Lin, H Zhu - Advances in Engineering Software, 2014 - Elsevier
Permutation flow shop scheduling (PFSP) is among the most studied scheduling settings. In
this paper, a hybrid Teaching–Learning-Based Optimization algorithm (HTLBO), which …
this paper, a hybrid Teaching–Learning-Based Optimization algorithm (HTLBO), which …
Population-based Tabu search with evolutionary strategies for permutation flow shop scheduling problems under effects of position-dependent learning and linear …
OA Arık - Soft computing, 2021 - Springer
This paper investigates permutation flow shop scheduling (PFSS) problems under the
effects of position-dependent learning and linear deterioration. In a PFSS problem, there are …
effects of position-dependent learning and linear deterioration. In a PFSS problem, there are …
Artificial bee colony algorithm including some components of iterated greedy algorithm for permutation flow shop scheduling problems
OA Arık - Neural Computing and Applications, 2021 - Springer
The permutation flow shop scheduling problem has been investigated by researchers for
more than 40 years due to its complexity and lots of real-life examples of the problem. Many …
more than 40 years due to its complexity and lots of real-life examples of the problem. Many …
Flowshop scheduling with artificial neural networks
For effective modelling of flowshop scheduling problems, artificial neural networks (ANNs),
due to their robustness, parallelism and predictive ability have been successfully used by …
due to their robustness, parallelism and predictive ability have been successfully used by …