[PDF][PDF] A review of scheduling problem and resolution methods in flexible flow shop

TS Lee, YT Loong - International Journal of Industrial …, 2019 - pdfs.semanticscholar.org
A production system constructed by few parallel production lines or group of machines in a
single stage and established in multi-stage flow shop facilities, is commonly defined as …

Solving energy-efficient fuzzy hybrid flow-shop scheduling problem at a variable machine speed using an extended NSGA-II

YJ Wang, GG Wang, FM Tian, DW Gong… - … Applications of Artificial …, 2023 - Elsevier
As environmental problems are increasingly challenging and sustainable development win
support among the people, the energy-efficient hybrid flow-shop scheduling problem …

A cooperative coevolution algorithm for multi-objective fuzzy distributed hybrid flow shop

J Zheng, L Wang, J Wang - Knowledge-Based Systems, 2020 - Elsevier
With consideration of uncertainty in the distributed manufacturing systems, this paper
addresses a multi-objective fuzzy distributed hybrid flow shop scheduling problem with fuzzy …

A K-means-Teaching Learning based optimization algorithm for parallel machine scheduling problem

Y Li, J Liu, L Wang, J Liu, H Tang, J Guo, W Xu - Applied Soft Computing, 2024 - Elsevier
With the continuous increase of workshop production scale, traditional heuristic algorithms
in solving the scheduling problem have the defects of unsatisfactory computing time and …

Forecasting agricultural output with an improved grey forecasting model based on the genetic algorithm

SL Ou - Computers and electronics in agriculture, 2012 - Elsevier
Agriculture is the foundation of the national economy. Thus, an appropriate tool for
forecasting agricultural output is very important for policy making. In this study, both modified …

A parallel genetic algorithm for multi-objective flexible flowshop scheduling in pasta manufacturing

K Shen, T De Pessemier, L Martens… - Computers & Industrial …, 2021 - Elsevier
Among the potential road maps to sustainable production, efficient manufacturing
scheduling is a promising direction. This paper addresses the lack of knowledge in the …

Solving type-2 fuzzy distributed hybrid flowshop scheduling using an improved brain storm optimization algorithm

J Li, J Li, L Zhang, H Sang, Y Han, Q Chen - International Journal of Fuzzy …, 2021 - Springer
The distributed hybrid flowshop scheduling (DHFS) problem is a common scheduling
problem that has been researched in both academic and industrial fields during recent …

Parallel tabu search algorithm for the hybrid flow shop problem

W Bożejko, J Pempera, C Smutnicki - Computers & Industrial Engineering, 2013 - Elsevier
The paper deals with the parallel variant of the scheduling algorithm dedicated to the hybrid
flow shop problem. The problem derives from practice of automated manufacturing lines, eg …

A data mining approach for population-based methods to solve the JSSP

MM Nasiri, S Salesi, A Rahbari… - Soft Computing, 2019 - Springer
Up to now, many different methods (eg, dispatching rules, metaheuristics) have been
proposed to solve the job shop scheduling problem (JSSP), but the application of data …

An efficient simulation–neural network–genetic algorithm for flexible flow shops with sequence-dependent setup times, job deterioration and learning effects

A Azadeh, AH Goodarzi, MH Kolaee… - Neural Computing and …, 2019 - Springer
This study presents an integrated approach based on artificial neural network (ANN),
genetic algorithm (GA) and computer simulation to explore all the solution space in …