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[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 …
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 …
support among the people, the energy-efficient hybrid flow-shop scheduling problem …
A cooperative coevolution algorithm for multi-objective fuzzy distributed hybrid flow shop
With consideration of uncertainty in the distributed manufacturing systems, this paper
addresses a multi-objective fuzzy distributed hybrid flow shop scheduling problem with fuzzy …
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 …
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 …
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
Among the potential road maps to sustainable production, efficient manufacturing
scheduling is a promising direction. This paper addresses the lack of knowledge in the …
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
The distributed hybrid flowshop scheduling (DHFS) problem is a common scheduling
problem that has been researched in both academic and industrial fields during recent …
problem that has been researched in both academic and industrial fields during recent …
Parallel tabu search algorithm for the hybrid flow shop problem
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 …
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
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 …
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
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 …
genetic algorithm (GA) and computer simulation to explore all the solution space in …