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Flow shop scheduling problems with assembly operations: a review and new trends
The past few years have witnessed a resurgence of interest in assembly flow shop
scheduling as evidenced by increasing number of published articles in this field. A basic …
scheduling as evidenced by increasing number of published articles in this field. A basic …
A review of machine scheduling: Complexity, algorithms and approximability
The scheduling of computer and manufacturing systems has been the subject of extensive
research for over forty years. In addition to computers and manufacturing, scheduling theory …
research for over forty years. In addition to computers and manufacturing, scheduling theory …
A cooperative memetic algorithm with feedback for the energy-aware distributed flow-shops with flexible assembly scheduling
With economic globalization and increasingly concerned sustainable manufacturing, energy-
aware distributed scheduling and flexible assembly are significant to optimize global supply …
aware distributed scheduling and flexible assembly are significant to optimize global supply …
An adaptive artificial bee colony with reinforcement learning for distributed three-stage assembly scheduling with maintenance
Distributed three-stage assembly scheduling problem extensively exists in the real-life
assembly production process and is seldom considered. The integration of reinforcement …
assembly production process and is seldom considered. The integration of reinforcement …
Grey Wolf Optimizer algorithm for the two-stage assembly flow shop scheduling problem with release time
GM Komaki, V Kayvanfar - Journal of computational science, 2015 - Elsevier
This article addresses the two-stage assembly flow shop scheduling problem with release
time of jobs which is applicable in many industrial areas, such as computer manufacturing …
time of jobs which is applicable in many industrial areas, such as computer manufacturing …
Adaptive scheduling for assembly job shop with uncertain assembly times based on dual Q-learning
H Wang, BR Sarker, J Li, J Li - International Journal of Production …, 2021 - Taylor & Francis
To address the uncertainty of production environment in assembly job shop, in combination
of the real-time feature of reinforcement learning, a dual Q-learning (DQ) method is …
of the real-time feature of reinforcement learning, a dual Q-learning (DQ) method is …
Effective constructive heuristics and meta-heuristics for the distributed assembly permutation flowshop scheduling problem
This paper addresses a novel distributed assembly permutation flowshop scheduling
problem that has important applications in modern supply chains and manufacturing …
problem that has important applications in modern supply chains and manufacturing …
Flowshop-scheduling problems with makespan criterion: a review
This paper is a complete survey of flowshop-scheduling problems and contributions from
early works of Johnson of to recent approaches of metaheuristics of 2004. It mainly …
early works of Johnson of to recent approaches of metaheuristics of 2004. It mainly …
A genetic programming hyper-heuristic for the distributed assembly permutation flow-shop scheduling problem with sequence dependent setup times
HB Song, J Lin - Swarm and Evolutionary Computation, 2021 - Elsevier
In this paper, a genetic programming hyper heuristic (GP-HH) algorithm is proposed to solve
the distributed assembly permutation flow-shop scheduling problem with sequence …
the distributed assembly permutation flow-shop scheduling problem with sequence …
An estimation of distribution algorithm-based memetic algorithm for the distributed assembly permutation flow-shop scheduling problem
In this paper, an estimation of distribution algorithm (EDA)-based memetic algorithm (MA) is
proposed for solving the distributed assembly permutation flow-shop scheduling problem …
proposed for solving the distributed assembly permutation flow-shop scheduling problem …