Iterated greedy algorithms for flow-shop scheduling problems: A tutorial

ZY Zhao, MC Zhou, SX Liu - IEEE Transactions on Automation …, 2021 - ieeexplore.ieee.org
An iterated greedy algorithm (IGA) is a simple and powerful heuristic algorithm. It is widely
used to solve flow-shop scheduling problems (FSPs), an important branch of production …

[HTML][HTML] A survey of scheduling with parallel batch (p-batch) processing

JW Fowler, L Mönch - European journal of operational research, 2022 - Elsevier
Multiple jobs are processed simultaneously on a given batch processing machine in parallel
batching. The resulting batch is called a p-batch. Batching can lead to reduced production …

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 …

An Iterative Greedy Algorithm With Q-Learning Mechanism for the Multiobjective Distributed No-Idle Permutation Flowshop Scheduling

F Zhao, C Zhuang, L Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The distributed no-idle permutation flowshop scheduling problem (DNIPFSP) has widely
existed in various manufacturing systems. The makespan and total tardiness are optimized …

[HTML][HTML] A review and classification on distributed permutation flowshop scheduling problems

P Perez-Gonzalez, JM Framinan - European Journal of Operational …, 2024 - Elsevier
Abstract The Distributed Permutation Flowshop Scheduling (DPFS) problem is one of the
fastest-growing topics in the scheduling literature, which in turn is among the most prolific …

Iterated Greedy methods for the distributed permutation flowshop scheduling problem

R Ruiz, QK Pan, B Naderi - Omega, 2019 - Elsevier
Large manufacturing firms operate more than one production center. As a result, in relation
to scheduling problems, which factory manufactures which product is an important …

Dual-objective mixed integer linear program and memetic algorithm for an industrial group scheduling problem

Z Zhao, S Liu, MC Zhou… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
Group scheduling problems have attracted much attention owing to their many practical
applications. This work proposes a new bi-objective serial-batch group scheduling problem …

Distributed flow shop scheduling with sequence-dependent setup times using an improved iterated greedy algorithm

X Han, Y Han, Q Chen, J Li, H Sang… - Complex system …, 2021 - ieeexplore.ieee.org
To meet the multi-cooperation production demand of enterprises, the distributed permutation
flow shop scheduling problem (DPFSP) has become the frontier research in the field of …

Truck-drone team logistics: A heuristic approach to multi-drop route planning

PL Gonzalez-R, D Canca, JL Andrade-Pineda… - … Research Part C …, 2020 - Elsevier
Recently there have been significant developments and applications in the field of
unmanned aerial vehicles (UAVs). In a few years, these applications will be fully integrated …

A tri-individual iterated greedy algorithm for the distributed hybrid flow shop with blocking

F Liu, G Li, C Lu, L Yin, J Zhou - Expert Systems with Applications, 2024 - Elsevier
Scheduling problem with blocking is an attractive research direction due to its wide practical
applications. However, in the distributed hybrid flow shop problem (DHFSP), there are few …