[HTML][HTML] A systematic review of multi-objective hybrid flow shop scheduling
In industry, production is often organized in the form of a hybrid flow shop, and there is great
interest in methods and algorithms for optimizing such production processes. While, thus far …
interest in methods and algorithms for optimizing such production processes. While, thus far …
A reinforcement learning based RMOEA/D for bi-objective fuzzy flexible job shop scheduling
The flexible job shop scheduling problem (FJSP) is significant for realistic manufacturing.
However, the job processing time usually is uncertain and changeable during …
However, the job processing time usually is uncertain and changeable during …
Mathematical model and knowledge-based iterated greedy algorithm for distributed assembly hybrid flow shop scheduling problem with dual-resource constraints
F Yu, C Lu, J Zhou, L Yin - Expert Systems with Applications, 2024 - Elsevier
With the development of economic globalization, distributed hybrid flow shop scheduling
problem (DHFSSP) has become prevalent in realistic manufacturing systems. Moreover, to …
problem (DHFSSP) has become prevalent in realistic manufacturing systems. Moreover, to …
Co-evolution with deep reinforcement learning for energy-aware distributed heterogeneous flexible job shop scheduling
Energy-aware distributed heterogeneous flexible job shop scheduling (DHFJS) problem is
an extension of the traditional FJS, which is harder to solve. This work aims to minimize total …
an extension of the traditional FJS, which is harder to solve. This work aims to minimize total …
Modelling and optimization of distributed heterogeneous hybrid flow shop lot-streaming scheduling problem
More enterprises are facing rapid and changing market demand and small but frequent
orders, and they extend the production capability of manufacturing systems to respond to …
orders, and they extend the production capability of manufacturing systems to respond to …
A multiobjective memetic algorithm with particle swarm optimization and Q-learning-based local search for energy-efficient distributed heterogeneous hybrid flow-shop …
Most existing distributed hybrid flow-shop scheduling problems (DHFSPs) assume identical
shops and lack consideration of heterogeneous shops. This study focuses on energy …
shops and lack consideration of heterogeneous shops. This study focuses on energy …
A collaborative iterative greedy algorithm for the scheduling of distributed heterogeneous hybrid flow shop with blocking constraints
The hybrid flow shop and distributed flow shop problems have been extensively studied due
to their wide industrial applications. However, the distributed heterogeneous hybrid flow …
to their wide industrial applications. However, the distributed heterogeneous hybrid flow …
Bi-population balancing multi-objective algorithm for fuzzy flexible job shop with energy and transportation
Flexible job shop scheduling problem (FJSP) is one of the challenging issues in industrial
systems. In this study, we propose a bi-population balancing multi-objective evolutionary …
systems. In this study, we propose a bi-population balancing multi-objective evolutionary …
A network memetic algorithm for energy and labor-aware distributed heterogeneous hybrid flow shop scheduling problem
With the penetration of decentralization into factories, the production scheduling among non-
identical factories has emerged as a hot issue for industrial demand response. However …
identical factories has emerged as a hot issue for industrial demand response. However …
Double dqn-based coevolution for green distributed heterogeneous hybrid flowshop scheduling with multiple priorities of jobs
Distributed manufacturing involving heterogeneous factories presents significant challenges
to enterprises. Furthermore, the need to prioritize various jobs based on order urgency and …
to enterprises. Furthermore, the need to prioritize various jobs based on order urgency and …