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 …

A machine learning and genetic algorithm-based method for predicting width deviation of hot-rolled strip in steel production systems

Y Ji, S Liu, M Zhou, Z Zhao, X Guo, L Qi - Information Sciences, 2022 - Elsevier
Width deviation is an important metric for evaluating the quality of a hot-rolled strip in steel
production systems. This paper considers a width deviation prediction problem and …

Energy-efficient Hot-rolling Scheduling of High-quality Steel Products

Z Zhao, Z Bian, C Wang, K Zou… - 2023 IEEE Symposium …, 2023 - ieeexplore.ieee.org
Steel production involves many energy-intensive processes. Under the goal of carbon peak
and carbon neutrality, it is essential to study the steel production scheduling problems …

A new bi-objective batch scheduling problem: NSGA-II-and-local-search-based memetic algorithms

ZY Zhao, SX Liu, MC Zhou - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Batch scheduling problems deal with jobs to be processed in batches in many industrial
production systems. They are hard to solve. This work proposes a novel bi-objective batch …

A lexicographic bi-objective scheduling problem from steel production systems

Z Zhao, MC Zhou, S Liu, X Guo, H Liu - IFAC-PapersOnLine, 2020 - Elsevier
Wire rod and bar rolling is an essential process in a steel production system (SPS). This
work considers a lexicographic bi-objective scheduling problem originated from it. As a …

Conflict-Based Search and Improvement Strategies for Solving a New Lexicographic Bi-Objective Multi-Agent Path Finding Problem

S Li, X Li, M Zhou, Z Zhao, S Liu - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Multi-Agent Path Finding (MAPF) is an important problem with a variety of applications. Its
aim is to find collision-free paths for agents having separate start and goal positions. This …

Data-Driven Optimization Method for Aluminum Alloy Casting Process Parameters and Alloy Composition

S Li, S Yan, Z Cao, S Liu, D Chen - 2021 33rd Chinese Control …, 2021 - ieeexplore.ieee.org
Melting and casting are important parts of aluminum alloy production, in which process
parameters and alloy composition are key factors in determining ingot performance and are …

A Novel Bi-stage Adaptive Search-Scale Algorithm for Continuous Optimization

Z Du, S Liu - 2024 36th Chinese Control and Decision …, 2024 - ieeexplore.ieee.org
This paper proposed a Bi-stage Adaptive Search-scale Algorithm (BASA). Some new
mechanisms of search strategy, select strategy, and adaptive search-scale strategy were …

Data-driven Methods for Quality Prediction of Aluminum Alloy Ingots

M Yao, W Xiao, W Zhao, S Liu - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
The quality of ingots greatly affects the yield and performance of aluminum alloy products
and is closely related to the process parameters. This work proposes a data-driven method …

Data-Driven Prediction of Key Attributes for Tobacco Products

S Pang, R Hu, B Guo, J Jia, X Ding, S Yu - Proceedings of the 2021 3rd …, 2021 - dl.acm.org
Draw resistance of the cigarette is one of the critical attributes of tobacco products. It directly
affects consumers' health and has a close relationship with the release of cigarette tar …