Flow shop scheduling problems with assembly operations: a review and new trends

GM Komaki, S Sheikh, B Malakooti - International Journal of …, 2019 - Taylor & Francis
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 …

Deterministic assembly scheduling problems: A review and classification of concurrent-type scheduling models and solution procedures

JM Framinan, P Perez-Gonzalez… - European Journal of …, 2019 - Elsevier
Many activities in industry and services require the scheduling of tasks that can be
concurrently executed, the most clear example being perhaps the assembly of products …

A novel shuffled frog-lea** algorithm with reinforcement learning for distributed assembly hybrid flow shop scheduling

J Cai, D Lei, J Wang, L Wang - International Journal of Production …, 2023 - Taylor & Francis
Distributed hybrid flow shop scheduling (DHFS) problem has attracted much attention in
recent years; however, DHFS with actual processing constraints like assembly is seldom …

An adaptive artificial bee colony with reinforcement learning for distributed three-stage assembly scheduling with maintenance

J Wang, D Lei, J Cai - Applied Soft Computing, 2022 - Elsevier
Distributed three-stage assembly scheduling problem extensively exists in the real-life
assembly production process and is seldom considered. The integration of reinforcement …

Groundwater level modeling using augmented artificial ecosystem optimization

N Van Thieu, SD Barma, T Van Lam, O Kisi… - Journal of …, 2023 - Elsevier
Nature-inspired optimization is an active area of research in the artificial intelligence (AI)
field and has recently been adopted in hydrology for the calibration (training) of both process …

Improved artificial immune system algorithm for type-2 fuzzy flexible job shop scheduling problem

J Li, Z Liu, C Li, Z Zheng - IEEE Transactions on Fuzzy Systems, 2020 - ieeexplore.ieee.org
In practical applications, particularly in flexible manufacturing systems, there is a high level
of uncertainty. A type-2 fuzzy logic system (T2FS) has several parameters and an enhanced …

A hybrid graph-based imitation learning method for a realistic distributed hybrid flow shop with family setup time

J Li, J Li, K Gao, P Duan - IEEE Transactions on Systems, Man …, 2024 - ieeexplore.ieee.org
Prefabricated construction has attracted research interest as it can significantly save energy
consumption. In this study, a distributed hybrid flow shop with family setup time in a typical …

Effective invasive weed optimization algorithms for distributed assembly permutation flowshop problem with total flowtime criterion

HY Sang, QK Pan, JQ Li, P Wang, YY Han… - Swarm and evolutionary …, 2019 - Elsevier
Distributed assembly permutation flowshop scheduling problem (DAPFSP) has important
applications in modern assembly systems. In this paper, we present three variants of the …

Dynamic shuffled frog-lea** algorithm for distributed hybrid flow shop scheduling with multiprocessor tasks

J Cai, R Zhou, D Lei - Engineering Applications of Artificial Intelligence, 2020 - Elsevier
Distributed scheduling problems have attracted much attention in recent years; however,
distributed hybrid flow shop scheduling problem (DHFSP) is seldom investigated. In this …

Q-learning-based teaching-learning optimization for distributed two-stage hybrid flow shop scheduling with fuzzy processing time

B **, D Lei - Complex System Modeling and Simulation, 2022 - ieeexplore.ieee.org
Two-stage hybrid flow shop scheduling has been extensively considered in single-factory
settings. However, the distributed two-stage hybrid flow shop scheduling problem (DTHFSP) …